Software Engineer, Machine Learning

Multiverse is building a platform to help people at every stage of their careers develop skills in AI, data, and technology. The company partners with over 1,500 organizations to deliver apprenticeships that aim to boost productivity and measurable results. Backed by a $220 million Series D round and valued at $1.7 billion, Multiverse continues to grow with a team of more than 800 employees. This Software Engineer position sits within the Sync Learning & Impact squad in London. The team focuses on creating systems that connect coaches, learners, and managers, with the goal of improving learner retention and demonstrating the value of modern apprenticeships to companies worldwide. Role overview This role centers on building and scaling features that make a real difference for learners and coaches. The work involves designing systems that support strong relationships and measurable outcomes. The squad values autonomy, trust, and a bias for action, and seeks someone who enjoys mentoring others and navigating ambiguity. What you will do in your first 6 months Architect the foundation: Define and build technical solutions for coach-to-manager interactions, addressing new and complex challenges. Mentor engineers: Guide mid-level engineers as they take on Feature Lead responsibilities, helping the team deliver more effectively. Drive impact: Work with colleagues from other teams to create solutions that improve learner engagement and retention. What makes this squad unique The Sync Learning & Impact team values a culture of trust and autonomy. Engineers are encouraged to take initiative, mentor others, and find clarity in complex situations. The focus is always on solving real problems for individuals and delivering scalable solutions that matter.

At Beam, we empower our team to tackle significant global challenges. With cutting-edge technology and AI, we're addressing the world's most pressing social issues. Join us as we expand rapidly The journey is demanding, but nothing worthwhile comes easy.Be part of a pioneering company focused on making a positive social impact. Here, you'll thrive in a high-performance culture that encourages autonomy, rapid career advancement, and genuine enjoyment in your work.We prioritize our team’s professional growth with top-notch coaching, personal development budgets, and competitive salaries.Our Magic Notes product has already transformed the workflows of over 50,000 frontline workers across the UK, saving them more than 8 hours of administrative tasks weekly. We are set to launch globally, reaching practitioners in the USA, EU, and Australia.Your Role at BeamWe are on the lookout for Senior Software Engineers (and above) with a product-oriented mindset to join our dynamic product teams. Our passionate team has doubled in size in 2024, and values empowerment, autonomy, and a proactive approach.We seek engineers who are eager to take ownership of the products they develop, engaging in every facet of the creation process. We value individuals ready to confront complex challenges—not just technical ones—and collaborate with us to find solutions.Your ResponsibilitiesContribute to building next-generation technology—whether it be infrastructure or front-end; we value versatility.Collaborate with product, design, commercial, and analytics teams to identify new features for our offerings.Develop internal tools to enhance our team's efficiency in assisting as many individuals as possible.Leverage the latest generative AI tools to enable our caseworkers to focus on the critical aspects of their roles.Dive deep into the capabilities of existing Large Language Models (LLMs) and identify optimal implementations across our systems.Why Join Us?Our Magic Notes product has significantly improved the workflow of social workers, clinicians, and mental health practitioners.You'll work in an environment that prioritizes innovation, collaboration, and the chance to make a real difference in people's lives.

PhysicsX is looking for a Machine Learning Software Engineer to join its research division in London. This position centers on developing new machine learning solutions in collaboration with researchers and engineers. Role overview The work involves applying advanced algorithms and data analysis techniques to address complex challenges spanning several fields. The team values creative problem-solving and technical depth. Collaboration Expect to work closely with colleagues from diverse backgrounds, combining expertise to create practical and innovative solutions. The environment encourages sharing ideas and learning from each other. Location This role is based in London, United Kingdom.

physicsx is seeking a Staff Machine Learning Software Engineer to join its Research team in London. This position centers on building advanced algorithms and machine learning solutions to drive forward ambitious research initiatives. Role overview The main focus is on designing and implementing machine learning models that push the boundaries of current technology. Projects will involve exploring new methods and supporting research efforts that aim to solve complex problems. Location This role is based in London, United Kingdom. What you will do Develop and refine machine learning algorithms for research applications Collaborate with researchers to support innovative projects Work on solutions intended to advance the capabilities of existing technology

NextStep is a cutting-edge, AI-driven career platform tailored for top-tier consultants seeking to navigate their professional journeys strategically. Our innovative data-driven matching technology seamlessly connects consulting experts with opportunities that resonate with their skills and career goals, while simultaneously enabling organizations to tap into exceptional talent.We are currently seeking an Impact Investment Analyst in London to join a prominent firm within our partner network.Impact Investment Analyst - LondonCompensation: £70,000 - £95,000 per annum, based on experience (plus performance-related bonus)Your Responsibilities:As an Impact Investment Analyst, you will assess investment opportunities that deliver both financial returns and measurable social or environmental benefits. Your contributions will play a vital role in guiding capital allocation. Your key responsibilities will include:Identifying and evaluating potential investments across various sectors, including climate technology, affordable housing, healthcare access, and financial inclusion.Performing thorough due diligence on target companies, evaluating both their financial health and impact metrics.Creating financial models that forecast returns while quantifying social and environmental impacts.Developing impact measurement frameworks using recognized standards such as IRIS+, GIIRS, or SDG alignment.Drafting investment memos and presentations for investment committees and senior leadership.Monitoring the performance of portfolio companies post-investment, focusing on financial success and impact indicators.Providing strategic support to portfolio companies to enhance their impact and improve economic viability.Conducting research on emerging trends in impact investing, ESG integration, and blended finance models.Qualifications:Experience in consulting from MBB, Big Four, or boutique firms with a focus on social impact, sustainability, or ESG work.2-4 years of relevant experience in investment analysis, private equity, venture capital, or management consulting.Proficiency in financial modeling, including DCF models, comparables analysis, and scenario planning.A solid understanding of impact measurement frameworks and the capacity to assess non-financial results.Exceptional research, analytical, and communication skills, with the ability to articulate complex ideas effectively.

Why Join Faculty?Founded in 2014, Faculty is at the forefront of AI innovation, believing it to be the pivotal technology of our era. With a diverse portfolio of over 350 global clients, we are committed to enhancing performance through human-centric AI solutions. To learn more about our impactful work, click here.We prioritize innovation over fleeting trends, focusing on the development and deployment of responsible AI that drives tangible results. Our expertise in technical, product, and delivery aspects empowers clients across various sectors including government, finance, retail, energy, life sciences, and defense.As our business and reputation expand rapidly, we actively seek individuals who share our intellectual curiosity and ambition to leave a positive technological legacy.AI is a transformative force; join us to explore its most powerful applications and make them a reality.About Our TeamOur Energy, Transition, and Environment unit is leading the way in advancing the clean energy revolution. We aim to expedite the shift toward net-zero emissions and enhance efficiencies for the next generation of utility companies.We believe that the responsible and intelligent utilization of AI is essential for achieving our mission. Collaborating with a variety of clients—from major energy operators to GreenTech startups and national infrastructure providers—we create solutions that yield measurable impact, steering us toward a smarter, cleaner, and more sustainable future.Role OverviewAs a Lead Software Engineer focused on Machine Learning, you will guide the technical direction and execution of sophisticated AI projects. Your role will encompass serving as a technical authority, applying your expertise across numerous projects, from client-side deployments to strategic AI advisory, ensuring that architectural choices are robust and dependable.This position requires a blend of advanced technical skills and effective leadership, emphasizing innovation, nurturing team development, and crafting reusable solutions throughout the organization. If you are prepared to manage complex projects and deliver practical, innovative results, this is your opportunity to influence our future.Key Responsibilities:Establishing the technical direction and overseeing the development of AI projects.Leading a team of engineers, providing mentorship and fostering a collaborative work environment.Ensuring best practices in software development and design principles are adhered to.Engaging with clients to understand their needs and translating them into technical solutions.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originally initiated as the Google Self-Driving Car Project in 2009, our team has been relentlessly working to enhance mobility access and save lives by developing the Waymo Driver—The World’s Most Experienced Driver™. With over ten million successful rider-only trips facilitated by our technology, which has driven over 100 million miles on public roads and tens of billions of miles in simulations across more than 15 U.S. states, we are shaping the future of transportation.The Simulation ML Infrastructure team is responsible for creating scalable AI/ML infrastructure that propels our Simulator team towards innovative, state-of-the-art simulations of realistic environments for the Waymo Driver's training and testing. By leveraging large foundation models trained on extensive datasets, we enhance the authenticity and control of our simulations, including realistic representations of vehicles, pedestrians, cyclists, roads, traffic control systems, and weather conditions.We are currently seeking a highly skilled Senior Machine Learning Infrastructure Engineer to spearhead the development of advanced AI/ML infrastructure for multi-billion parameter foundation models tailored for ML accelerator-friendly simulations. Your extensive knowledge in massive model scaling, ML accelerators, and distributed training will be vital in designing and optimizing our systems.

Our Mission Dex exists to help people find work that matches their strengths and interests. Too many talented individuals feel disconnected from their jobs, leaving potential untapped. Dex aims to close this gap by using technology to connect people with opportunities where they can thrive. By supporting more people in doing what they love, we hope to build a happier and more productive world. We are beginning this journey by connecting ambitious software engineers with companies that value their skills. About Dex Dex is backed by investors such as a16z Speedrun, Concept Ventures, and angels from OpenAI, Wise, ElevenLabs, and Meta's board. Our team of 12 works out of the Borough of London. We value ambition, directness, and kindness, and look for people who are authentic and proactive. While we support flexible schedules, we typically meet in person around three times each week. Role Overview: Founding Machine Learning Engineer This position centers on machine learning engineering, not research or prompt engineering. A solid grasp of how embeddings represent meaning and how attention affects retrieval is important. Large language models (LLMs) are part of the toolkit, but the focus is on understanding and solving problems at the model level, not just using APIs. The main goal: build a system that can quickly and accurately stack-rank candidates for new roles in seconds. Ownership of the representations and scoring models that power Dex’s ability to match engineers with companies. The matchmaking engine developed will underpin future features, including candidate-focused products, automated outreach, and improved sourcing tools. Strong engineering skills are as important as machine learning expertise. What You'll Do Lead machine learning projects, delivering efficient and reliable systems. Location This role is based in London, with in-person collaboration expected several times a week.

Join Vortexa, a dynamic and rapidly expanding technology firm, dedicated to bridging the significant information gap in the energy sector. Leveraging extensive satellite data combined with cutting-edge artificial intelligence, we provide a revolutionary perspective on global seaborne energy movements in real-time. Our mission is to enhance transparency and efficiency within energy markets, ultimately benefiting society at large.The Data Platform Team at Vortexa oversees all aspects of our data, spanning from raw satellite AIS/imaging data to unstructured textual and graphical maritime data, including fixtures, port lineups, and customs filings. We also manage highly structured datasets, such as price and supply-demand forecasts, alongside modeling global energy flows and tanker fleet distributions.Our team has developed a diverse array of procedural, statistical, and machine learning models that enable us to deliver the most accurate and comprehensive insights into energy flows. We take pride in applying advanced research to real-world challenges in a sustainable, robust, and maintainable manner, with our data quality rigorously evaluated by seasoned market and data analysts.As a Software Engineer, you will play a vital role in designing and developing the infrastructure and applications necessary for the design, deployment, and benchmarking of both existing and new pipelines and machine learning models. Collaborating with software engineers, data scientists, and market analysts, you will ensure the reliability and fault tolerance of every component in the team’s data pipelines, ensuring our systems maintain 100% uptime.

About AnthropicAt Anthropic, we are dedicated to developing reliable, interpretable, and controllable AI systems. Our goal is to ensure that AI technology is safe and beneficial for both users and society. Our rapidly expanding team consists of passionate researchers, engineers, policy experts, and business leaders collaborating to create advantageous AI systems.About the TeamsThe Reinforcement Learning teams at Anthropic spearhead our research and development in reinforcement learning, playing an essential role in enhancing our AI systems. We have made significant contributions to all Claude models, particularly impacting the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work encompasses several critical areas:Creating systems that empower models to utilize computers effectively.Enhancing code generation through reinforcement learning techniques.Conducting pioneering RL research for large language models.Establishing scalable RL infrastructure and training methodologies.Improving model reasoning capabilities.We work closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and secure. Additionally, we collaborate with the applied production training team to seamlessly integrate research advancements into deployed models, demonstrating our commitment to implementing research at scale. Our Reinforcement Learning teams operate at the intersection of cutting-edge research and engineering excellence, dedicated to building high-quality, scalable systems that expand the possibilities of AI.About the RoleAs a Research Engineer in the Reinforcement Learning domain, you will partner with a diverse group of researchers and engineers to enhance the capabilities and safety of large language models. This position merges research and engineering responsibilities, requiring you to implement innovative approaches while contributing to the research strategy. You will engage in fundamental research in reinforcement learning, developing 'agentic' models capable of tool use for open-ended tasks such as computer usage and autonomous software generation, improving reasoning skills in disciplines like mathematics, and creating prototypes for internal applications, productivity, and evaluation.Representative Projects:Design and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters, scaling our systems to manage increasingly complex research workflows.Invent, implement, and evaluate novel training environments, evaluations, and methodologies for reinforcement learning.

impact.com is a commerce partnership marketing platform based in London. The company brings together affiliates, influencers, content publishers, brand ambassadors, and customer advocates on a single platform. Over 5,000 brands, including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics, use impact.com to manage more than 225,000 partnerships. Role overview The Account Executive - SMB will manage the small-to-medium business (SMB) territory across the UK and Ireland. This position supports impact.com’s expanding sales organization, working directly with prospective clients interested in partnership marketing solutions. What you will do Drive the sales process for SMB prospects, from initial contact and solution demonstrations through to defining project scope and finalizing contracts. Represent impact.com to emerging and high-growth brands in the region. Requirements Experience in sales, ideally within the marketing technology or partnership marketing sector. Strong consultative and analytical skills to guide clients through the sales journey. Energy and initiative to support business growth in a competitive market.

Role Overview impact is hiring a Director of Customer Success in London. This senior leader will guide a team focused on client satisfaction and the effective adoption of our solutions. The position centers on building strategies that improve customer engagement and retention. What You Will Do Lead and mentor the customer success team to deliver strong client outcomes Design and implement initiatives that increase customer engagement and loyalty Work closely with teams across the company to support customer-focused improvements and innovation What We Look For Experience leading customer success or account management teams Proven ability to drive customer satisfaction and retention Strategic thinking and a collaborative approach Strong communication and leadership skills

As the Director of Demand Generation for the UK and Ireland at impact, you will spearhead innovative marketing strategies to enhance brand visibility and drive customer engagement. Your role will involve collaborating with cross-functional teams to develop comprehensive demand generation campaigns that align with our business objectives. You will analyze market trends, optimize customer journeys, and lead a team of marketing professionals to achieve measurable results.

Role Overview impact is hiring a Customer Success Manager in London. This role focuses on helping clients reach their goals and get the most value from our solutions. Building strong relationships and supporting customer satisfaction are central to this position. What You Will Do Support clients as they use our products and services Work closely with customers to understand their needs and objectives Strengthen long-term relationships to encourage continued success Help clients resolve issues and make the most of our offerings What We Look For Proactive approach to client support Strong focus on customer satisfaction Ability to build and maintain trust with clients

Dataiku stands as the premier enterprise platform designed for AI success, serving as an orchestration layer that facilitates the design, deployment, and governance of AI solutions. Our platform empowers teams to seamlessly operate analytics, machine learning, and AI agents within a unified environment, ensuring the transparency, collaboration, and control that modern enterprises demand. By integrating with diverse data platforms, cloud infrastructures, and AI services, Dataiku enables organizations to effectively harness AI across multi-vendor ecosystems with centralized governance.Top global companies leverage Dataiku to transform AI into a robust business performance engine, delivering tangible value throughout their operations. Discover more on our blog, follow us on LinkedIn, check us out on X, and watch our content on YouTube.We are seeking a passionate and dedicated Social Impact Specialist to join our dynamic Sustainability & Social Impact team. In this pivotal role, you will play a key part in executing our social impact strategy, focusing on employee and community engagement, volunteering efforts, and Diversity, Equity, and Inclusion (DEI) initiatives. Collaborating with various departments, you will support diverse projects and initiatives on a global scale.

Join datatonic as a Machine Learning Engineer and be part of a dynamic team dedicated to leveraging data to drive intelligent decision-making. You will design and implement machine learning models, optimize algorithms, and collaborate with cross-functional teams to deliver innovative solutions.

Waymo is a pioneering company in the field of autonomous driving technology, dedicated to becoming the most trusted driver in the world. Originating from the Google Self-Driving Car Project in 2009, Waymo has concentrated on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost to traffic accidents. The Waymo Driver supports our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and applications. With over ten million rider-only trips and more than 100 million miles driven autonomously on public roads, complemented by tens of billions of miles in simulation across 15+ U.S. states, our experience is unparalleled.The Simulator team is at the forefront of creating cutting-edge simulations of real-world environments for the training and assessment of the Waymo Driver. We leverage machine learning to accurately model the real world, incorporating realistic agents (vehicles, pedestrians, cyclists, motorcyclists, etc.), road systems, traffic controls, and weather conditions. To enhance the precision and flexibility of our simulations, we utilize large foundation models trained on extensive datasets, enabling rapid setup and deployment of multiple scenarios for our driver.Our London-based team collaborates closely with our colleagues in Mountain View and Oxford to develop and enhance these foundation models and integrate them into various evaluation and training products. We are seeking talented research engineers eager to tackle these innovative challenges.In this hybrid role, you will report directly to an Engineering Manager.

Waymo, a pioneer in autonomous driving technology, is dedicated to becoming the world’s most trusted driver. Since its inception as the Google Self-Driving Car Project in 2009, Waymo has been at the forefront of innovation, developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility while significantly reducing the number of lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips completed, fueled by our experience of autonomously driving over 100 million miles on public roads and tens of billions of miles in simulation across more than 15 U.S. states, we are transforming transportation.The Driver Understanding and Evaluation (DUE) team at Waymo is focused on creating comprehensive metrics to evaluate the Waymo Driver’s behavior in real-world scenarios. We are developing advanced technologies such as context and scene analysis to enhance our driving understanding, as well as augmenting real-world driving data to generate rare driving events. This includes building large-scale data infrastructures and improving components like agents and realistic simulators, which are pivotal for our technical strategies and methodologies in assessing the Waymo Driver's performance.The DUE Machine Learning team will develop and maintain scalable machine learning systems and simulation workflows, enhancing evaluation processes and developer onboarding experiences. By merging expert human insights with cutting-edge machine learning models, we will provide training and evaluation data across hundreds of metrics and components that define the Waymo Driver. We are seeking passionate researchers and software engineers eager to harness machine learning techniques to elevate the evaluation systems within our autonomous vehicles, driven by a relentless pursuit of performance improvement.This position reports to the Engineering Manager.

Join Trainline as the Head of Machine Learning Engineering, where you'll lead our innovative machine learning initiatives. In this pivotal role, you will spearhead the development and implementation of advanced ML solutions that enhance our customer experience and optimize our operations.