23 of 23 Machine Learning Engineer Jobs in London

Machine Learning Engineer Join the analytics team as a Machine Learning Engineer in the insurance industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward-thinking environment. Client Details Machine Learning Engineer This opportunity is with a medium-sized organisation in the insurance industry. The company is committed to utilising advanced analytics and machine learning to enhance its services and deliver value to its clients. Description Machine Learning Engineer Design and develop machine learning models to address key business challenges in the insurance sector. … Collaborate with the analytics team to identify opportunities for leveraging data-driven solutions. Deploy machine learning algorithms into production environments efficiently. Optimise model performance and ensure scalability for large data sets. Analyse and interpret data to provide actionable insights for stakeholders. Stay updated with the latest advancements in machine learning and data science technologies. Document processes More ❯

Lead Machine Learning Engineer 💸 £120,000–£130,000 🌍 One day a week in London (exceptional circumstances could allow one day a month) 📈 Equity Options 🏖️ 25 Days Holiday + Bank Holidays 💰 Pension matched up to 7% ✈️ Work abroad for up to 3 months Drive Innovation. Lead the Future of Machine Learning/AI Engineer Are … you ready to lead a world-class Machine Learning team delivering cutting-edge, production-grade systems? We're looking for a Lead Machine Learning Engineer — a "plug-and-play" leader with proven experience in people management and deep technical expertise — to shape the direction of our GenAI and retrieval-focused streams. This is a leadership … role where you’ll not only design and build advanced machine learning solutions but also line-manage engineers, coordinate delivery across high-impact ML projects, and define the technical bar across the team. Your compensation reflects both the strategic leadership scope and technical excellence expected in this role. What you'll be doing: Lead and manage a team More ❯

Machine Learning Operations Engineer Our financial services client based in London is looking to recruit a Machine Learning Operations Engineer ASAP. The position will be a Hybrid role be working from home and their offices in London. To be considered for the role you must have the following essential skills & experience: Key Skills & Experience … Model development: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Machine Learning Operations: Responsible for … designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Data Management and Preprocessing: Collect, clean and preprocess large datasets to facilitate analysis and More ❯

the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond The role We are now looking for a Machine Learning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers' manual … analytical skills to understand customer challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machine learning models as they come to market but then will gradually develop self-service tools that empower customers to achieve value independently. As part of this role, you … development of our Virtual Agent development platform that scales with our product strategy. Ensure our AI services maintain high standards of reliability, observability, availability, and performance. Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. Take ownership of customer outcomes with the autonomy to More ❯

the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with … data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines … the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing More ❯

Role - Machine Learning Engineer Location Hybrid, 1 day on site in London (with flex) Salary - £70,000 to £75,000 The Opportunity Were partnering with a client in the financial services sector who are looking to bring on a Machine Learning Engineer to their growing Intelligent Automation Team of 50. Following a period of … plus a strong benefits package. The position is hybrid, typically one day per week on site in London (with flexibility around which day). The Role Reporting to the Machine Learning Lead, youll be a hands-on Machine Learning Engineer with a strong track record of building and deploying ML solutions at scaleparticularly in NLP … Terraform). A test-driven development mindset and commitment to engineering quality. Broad understanding of ML approaches, with the ability to explain methods clearly: Regression, clustering, decision trees, reinforcement learning Gradient boosting, CNNs, RNNs, LSTMs Attention models, encoder/decoder architectures, transformers, vector semantics Demonstrable experience developing GenAI applications in real-world settings. The confidence to communicate complex technical More ❯

Machine Learning Engineer - Canary Wharf - 75k - Hybrid A leading organisation is expanding its AI capability and is looking for a Machine Learning Engineer to help build and scale next-generation NLP and Gen AI solutions. This role sits at the heart of an established data function, working on real production workloads rather than prototypes. … LLMs and ML-driven services are designed, deployed and continuously improved. What you'll be working on * Designing and delivering Gen AI and LLM-driven applications* Building and maintaining machine learning pipelines and data workflows* Developing cloud-native (serverless) ML components within a distributed engineering team* Improving existing ML systems and identifying opportunities for optimisation* Supporting sprint planning … and working with common architecture patterns* Background in serverless data/ML pipelines (Azure preferred, AWS/GCP welcome)* Proficiency in SQL and NoSQL data stores* Broad understanding of machine learning methods (regression, tree-based models, clustering, deep learning, attention models, transformers, vector representations)* Ability to explain technical concepts clearly to a range of stakeholders* Confidence estimating More ❯

Machine Learning Engineer Location: Remote - UK Permanent Salary: £90-100K per year + benefits Start Date: Immediate WRK digital is proud to partner with a fast-growing technology startup building solutions that combine human expertise and AI agents to automate complex operational workflows. The organisations mission is to help businesses solve real-world challenges in areas … is an exciting stage of their journey as they look to expand the platform and capabilities over the coming year and beyond. The Role Were shortlisting for an experienced Machine Learning Engineer to design, build, and deliver cutting-edge AI solutions for customers. Youll apply your expertise in software engineering and machine learning to transform … implement AI and computer vision technologies. Take ownership of customer outcomes and contribute across software engineering, DevOps, and MLOps functions. About You Were looking for a proactive and versatile engineer who thrives in a collaborative environment and enjoys solving meaningful technical challenges. Youll be comfortable engaging with customers and internal stakeholders, driving technical delivery, and contributing ideas that shape More ❯

Data Scientist & Machine Learning Engineer - Fully Remote We are currently working on a fully remote, data-driven gaming & entertainment company that's scaling its Data Science and Machine Learning capabilities across Europe. The business has around 100 employees globally and is deeply invested in analytics, experimentation, and automated decision-making.They're now hiring for: Senior … CLV, recommendations), and game-economy optimisation. The role involves significant ownership and frequent interaction with C-level stakeholders, so strong communication and statistical depth are essential.Tech: Python, SQL, GCP. Machine Learning Engineer Focused on deploying, maintaining, and monitoring ML systems. You won't be building models but will work closely with DS and engineering teams to ensure More ❯

the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond The role We are now looking for a Machine Learning Research Engineer to help build and deliver a platform that can automatically create Virtual Agents for operational processes currently undertaken manually using browser-based UIs. An … our customer-facing technical teams Utilise best-in-class capabilities to deliver these capabilities Research, invent and create novel capabilities where gaps in industry require it Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. Contribute full-stack development, including software engineering, DevOps, and … are happy to get stuck into whatever needs doing, and are ready to learn and grow with the company. For this particular role, we need a proactive AI and machine learning expert who is familiar with leveraging and creating AI capabilities and who is comfortable engaging with customers and exploring and presenting new ideas. Strong communication skills are More ❯

MedTech start-ups to design and deliver solutions which address critical healthcare challenges, and help to democratize health for all. #LI-PRIO About the role Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients. You will be instrumental in bringing machine learning out of the lab and … scientists, and commercial leads to solve critical client challenges. Leading technical scoping and architectural decisions to ensure project feasibility and impact. Defining and implementing Faculty's standards for deploying machine learning at scale. Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders. Who we're looking for: You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch. You possess strong Python skills and solid experience in software engineering best practices. You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security. You've worked with container and orchestration tools such at Docker More ❯

Role - Machine Learning Engineer Location Hybrid, 1 day on site in London (with flex) Salary - £70,000 to £75,000 The Opportunity Were partnering with a client in the financial services sector who are looking to bring on a Machine Learning Engineer to their growing Intelligent Automation Team of 50 click apply for full More ❯

We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. As a Machine Learning Engineer you will be responsible for the improvements and maintenance of our ML Framework, supporting a team of Data Scientists to deploy a variety of Machine Learning and AI models into production. The role works closely in collaboration with Data Scientists and Engineers to follow best practises and Governance. You will need to utilise the GCP Vertex AI suite to enable automated re-training and scoring, making sure our business partners have a robust system to access scores for targeting. What you'll do … of software engineering principles, including version control (Git), testing, CI/CD pipelines, and containerization (Docker/Kubernetes). Team overview The team sits within Sky Data OTT serving machine learning models to the NOW and WOW businesses in Europe. We work to increase personalisation for our customers through content recommendations and offers. The rewards There's one More ❯

team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Role Overview: We are looking for an independent, dedicated Senior or Staff Machine Learning Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. VCG's … mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency. What you'll be doing: Develop and improve core generative models for graphics and video processing for a variety of applications, such as … the team in core R&D work with other teams within Sony Interactive Entertainment What we're looking for: PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post Strong background in: TensorFlow or PyTorch; Python More ❯

This temporary role requires an ML Quant Engineer with expertise within an Investment Bank. The position is based in London and involves developing and implementing machine learning models to support financial decision-making. Client Details The hiring organisation is a large entity within the financial services industry. Description Design and implement machine learning models for … financial applications, with a focus on derivatives pricing, risk analytics, and market forecasting. Build scalable ML pipelines to process large volumes of financial data efficiently. Develop deep learning architectures for time series prediction, anomaly detection, and pattern recognition in market data. Optimise model performance using techniques such as hyper-parameter tuning, ensemble methods, and neural architecture search. Collaborate with … ML models with pricing methodologies and identify opportunities for innovation. Support the deployment of ML solutions into production systems for real-time risk management and pricing automation. Profile Advanced Machine Learning Expertise - Demonstrates deep understanding of ML algorithms (supervised, unsupervised, reinforcement learning) and has hands-on experience with deep learning architectures like RNNs, LSTMs, and Transformers. More ❯

it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role We're looking for a Machine Learning Engineer II to join our Applied Machine Learning team and deliver new experiences and valuable insights to our coaches, athletes and fans across Hudl. … You'll drive game-changing initiatives that use cutting-edge computer vision and deep learning at scale to shape the future of sports, from professional teams to local high schools. At Hudl, ML Engineers: Deliver for customers at scale. You'll contribute to ML models and systems on both cloud and edge environments, scaling to thousands of simultaneous sports More ❯

We are looking for a Senior Machine Learning Engineer to join our growing engineering team. You're the perfect fit for this role if you are passionate about solving problems in NLP, have a great appreciation for science and want to transform how it is done. You Will: Continuously improve the performance and scalability of ML models … You Have: 5+ years of software development experience Bachelor's degree in Computer Science or Mathematics Strong experience with NLP A degree in computer science with a focus in machine learning and at least three years of experience in the industry Strong experience with TensorFlow, PyTorch, and image processing libraries such as OpenCV and scikit-image Experience with … vacation day every year * Company closures for 14 more days throughout the year * Flex time for sick days, personal days, and religious holidays * Comprehensive health and dental benefits * Annual learning & development budget * A one-time home office set-up budget to use upon joining BenchSci * An annual lifestyle spending account allowance * Generous parental leave benefits with a top-up More ❯

Overview Chambers and Partners is transforming how the world’s leading legal professionals access insight and intelligence and we’re looking for a Senior AI Engineer to help drive that innovation. In this pivotal role, you’ll design, develop, and deploy advanced AI and machine learning solutions that power our next generation of products and research capabilities. … entity recognition, and relationship extraction. Design and implement intelligent tagging and metadata enrichment frameworks to categorize and organize legal and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build, and maintain traditional ML and LLM models and pipelines . Build LLM apps using LangGraph/LangChain : tools/function calling, structured outputs More ❯

GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As a Machine Learning Engineer in GenAIIC, you are proficient in developing and deploying advanced ML models and pipelines to solve diverse customer problems using Gen AI. You will be … diverse teams, projects, and environments to have a firsthand impact on our global customer base. Youll bring a passion for the intersection of software development with generative AI and machine learning. Youll also: Solve complex technical problems, often ones not solved before, at every layer of the stack. Design, implement, test, deploy and maintain innovative ML solutions to transform … our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth Were continuously raising our performance More ❯

Senior Quant Machine Learning Engineer sought by leading investment bank based in the city of London. **Inside IR35, 4 days a week on site** The role: To lead the design and deployment of ML-driven models across our trading and investment platforms. This is a high-impact, front-office role offering direct collaboration with traders, quant researchers … and scalable model infrastructure for production deployment Mentor junior quants and engineers; contribute to knowledge-sharing and model governance processes Stay current with cutting-edge ML research (e.g., deep learning, generative models, reinforcement learning) and assess applicability to financial markets Collaborate closely with cross-functional teams, including traders, data engineers, and software developers What We're Looking For … fund, or tech firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level programming skills in Python and strong understanding of software engineering best practices Experience deploying ML models to production in real-time or More ❯

Senior Quant Machine Learning Engineer sought by leading investment bank based in the city of London. **Inside IR35, 4 days a week on site** The role:To lead the design and deployment of ML-driven models across our trading and investment platforms. This is a high-impact, front-office role offering direct collaboration with traders, quant researchers … and scalable model infrastructure for production deployment Mentor junior quants and engineers; contribute to knowledge-sharing and model governance processes Stay current with cutting-edge ML research (e.g., deep learning, generative models, reinforcement learning) and assess applicability to financial markets Collaborate closely with cross-functional teams, including traders, data engineers, and software developers What We're Looking For … fund, or tech firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level programming skills in Python and strong understanding of software engineering best practices Experience deploying ML models to production in real-time or More ❯

understand and interact with the millions of lines of code that run Kraken, leveraging techniques at the cutting-edge of the technology like GraphRAG, agentic workflows, finetuning, and reinforcement learning Use classic ML and NLP techniques to complement and improve LLM systems Act as a center of excellence for the whole business in AI, as a floating resource that More ❯

Amazon launched the Generative AI (GenAI) Innovation Center (GenAIIC) in Jun 2023 to help AWS customers accelerate enterprise innovation and success with Generative AI (). Customers such as Highspot, Lonely Planet, Ryanair, and Twilio are engaging with the GAI Innovation More ❯