1 to 25 of 37 Machine Learning Engineer Jobs in the City of London

Lead Machine Learning Engineer (Pet care) Location: London – 1/2 days a week in the office Salary: Up to £90/95k + £7.5k Car allowance + 20% bonus Pet care Are you passionate about using data and technology to make a real-world difference? Join a global leader in pet health and nutrition that’s … harnessing the power of AI and machine learning to create a better world for pets — and the people who care for them. This company organisation is transforming how we understand and deliver pet wellbeing through data-driven insights. They bring together expertise in veterinary science, nutrition, and digital innovation to improve the lives of millions of pets around … the world. This is your opportunity to be part of a forward-thinking team where cutting-edge technology meets genuine purpose. The Role: I’m seeking a Lead Machine Learning Engineer to drive the design, deployment, and scaling of ML solutions across our global data ecosystem. You’ll be the technical lead for machine learning More ❯

Job Title: Machine Learning Engineer Location: London, UK (Hybrid – 2–3 days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal … candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning … production environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of More ❯

a leading developer and provider of full-stack photonic quantum computing systems. This company focuses on innovative approaches to quantum computing, high performance, and data centre-standard systems for machine learning and generative AI. You will have the opportunity to work in multidisciplinary teams of quantum scientists’, engineers, and mathematicians who are developing hardware and software within quantum … classical systems. We're looking for an experience machine learning engineer, who will thrive in collaborative dynamic environments where learning is continuous and every contribution drives progress towards the next generation of computing. Having knowledge or interest within quantum computing would be desirable. Your Responsibilities: You will research, implement and benchmark new machine learning … the user facing software stack by adding and improving new algorithm applications and examples. Technical Expertise: Master's or PhD in a relevant field (physics, computer science...) Expertise in machine learning, with a strong understanding of flow matching, diffusion and/or GANs Machine learning orientated programmed skills (Pytorch, Python...) Experience in developing and benchmarking new More ❯

Machine Learning Engineer Location: West London | On-site An innovative deep-tech company developing next-generation computing hardware is looking for a Machine Learning Engineer to join their growing team in West London. This is a unique opportunity to work at the intersection of machine learning, advanced hardware design and high-performance … role in developing and refining new ML architectures, designing input/output encoding methods, and conducting rigorous benchmarking to evaluate and improve performance. This role is ideal for an engineer with a strong foundation in ML who enjoys both conceptual design and hands-on model development. Responsibilities Design and optimise novel machine learning architectures for high-dimensional … Research and adapt state-of-the-art ML and computer vision techniques to new hardware paradigms. Collaborate cross-functionally with hardware, software and research teams. Requirements Strong background in machine learning algorithm development and optimisation. Proficiency in Python and modern ML frameworks such as PyTorch, JAX or TensorFlow. Experience with data modelling, preprocessing and performance benchmarking. Understanding of More ❯

Senior Machine Learning Engineer x2 days a week in the office (can be reduced to x1 day sometimes) About the Role & Company Join a large-scale, consumer-facing technology business operating across multiple markets, known for its innovation, rich user data, and commitment to ML/AI. With thousands of employees and a rapidly expanding AI/… ML function, this company is investing deeply in applied machine learning to enhance digital experiences, power intelligent automation, and unlock data-driven decision-making. As a Senior Machine Learning Engineer, you’ll be part of a cross-functional team bringing models from ideation into production, developing scalable ML systems that operate across both real-time … and batch environments. You'll also help shape internal tooling and infrastructure to support rapid experimentation, reliable deployment, and safe AI at scale. Key Responsibilities Build, deploy and maintain machine learning models as APIs, streams, and batch services Partner with Data Scientists to industrialise prototypes into production-ready applications Lead on observability, CI/CD automation, and monitoring More ❯

Lead Machine Learning Engineer Location: London (Hybrid) Salary: Highly Competitive + Benefits We’re partnered with an innovative AI company building world-class technology that powers real-time voice and audio intelligence. Their products use deep learning and signal processing to isolate speech, eliminate background noise, and enhance communication clarity across enterprise, consumer, and high-performance … sectors. They’re now looking for a Lead Machine Learning Engineer to take a hands-on leadership role within their R&D team. This position combines technical ownership and strategic direction , guiding the research, development, and deployment of machine learning models for real-time speech enhancement. Responsibilities: Lead the design, training, and optimisation of ML … and product teams to integrate ML systems into live products. Contribute to the company’s long-term AI strategy and technical roadmap. Requirements: MSc or PhD in Computer Science, Machine Learning, or Signal Processing. Proven experience in leading or mentoring ML/AI engineering teams. Deep understanding of digital signal processing and speech/audio modelling . Proficiency More ❯

Senior Machine Learning Engineer x2 days a week on UK client site, optional London HQ visits About the Company We’re partnering with a specialist AI and data consultancy that designs and deploys bespoke machine learning systems across sectors such as national security, defence, critical infrastructure, and digital public services. Their focus is on delivering … elite environment, ideal for someone who thrives on solving operational challenges, building robust MLOps infrastructure, and leading the delivery of AI systems at scale. The Role As a Senior Machine Learning Engineer, you’ll be part of cross-functional delivery teams working on technically complex, high-impact AI projects. You’ll play a central role in designing … MLOps. You’ll work alongside data scientists, engineers, designers, and product stakeholders often embedded within mission-critical delivery environments. Key Responsibilities Lead the design and build of production-ready machine learning pipelines and systems Develop infrastructure and tooling to enable deployment, monitoring, and retraining of ML models Work across the full AI delivery lifecycle, from architecture and integration More ❯

Machine Learning Engineer Location: Remote-first Type: Full-time, permanent Salary: £70,000 - £100,000 + benefits About the Company This BioAI startup is developing next-generation diagnostic technologies for bloodstream infections using cutting-edge machine learning and DNA sequencing. The team combines expertise across genomics, microbiology, and data science to accelerate how infectious diseases … with a focus on developing advanced ML models for genomic analysis - work that directly contributes to saving lives through faster, more accurate diagnosis. The Role We’re hiring a Machine Learning Engineer to lead the development of a bacterial genome anomaly detection system - building bespoke algorithms that identify unusual patterns in genomic data and support the company … for testing and feedback Contribute to broader R&D initiatives such as statistical framework design and data infrastructure development What We’re Looking For Required MSc or PhD in Machine Learning, Computational Biology, Bioinformatics, or related discipline (or equivalent industry experience) Demonstrated ability to apply ML methods to biological or genomic data Strong Python skills with experience in More ❯

Applied Machine Learning Engineer - London (Hybrid) - £60,000 I’m working with a fast-growing, founder-led start-up that’s on a mission to make digital ads actually enjoyable — tackling one of the biggest challenges in adtech: building a higher-quality, more intelligent ad-funded internet. They’re now hiring their first ever Applied Machine Learning Engineer — someone curious, hands-on, and ready to own all things ML from day one. What you’ll be doing: Building and deploying applied ML systems that make the product smarter and more defensible Developing contextual categorisation of web content Prototyping algorithms to optimise ad performance and bidding logic Applying modern LLM techniques — from prompt engineering … If you’re ready to apply your ML skills in a high-impact, creative environment — where ideas move from concept to production fast — I’d love to chat. Applied Machine Learning Engineer - London (Hybrid More ❯

A leading buy-side firm, is looking for a Machine Learning Engineer to push the boundaries of how data and models are used in systematic investing. This isn’t a research support role — it’s about building the ML infrastructure that directly drives trading strategies and PnL. The Opportunity Key Responsibilities Design and implement distributed training pipelines … handling high-volume data and complex model architectures Develop low-latency inference systems providing real-time, high-accuracy predictions in production Optimise and extend machine learning frameworks to improve training and inference performance Leverage GPU programming (CUDA, cuDNN, TensorRT) to maximise efficiency Automate model experimentation, tuning and retraining in partnership with research teams Work with infrastructure specialists to … optimise workflows and reduce compute costs Assess and integrate emerging open-source tools to enhance ML development and deployment Skills and Experience 5+ years’ experience in machine learning with a focus on training and inference systems Strong programming expertise in Python and C++ or CUDA Proficiency with PyTorch, TensorFlow or JAX Hands-on experience with GPU acceleration and More ❯

Machine Learning Engineer | London (Hybrid) | £70,000 - £80,000 We are looking for a Machine Learning Engineer to join our London-based client, to deliver end-to-end solutions on exciting new projects which have come about due to growth. You’ll be designing, building and deploying machine learning models which solve More ❯

Machine Learning Engineer An AI-driven start-up, backed by $20M in Series A funding, is looking for its first Machine Learning Engineer to help scale their product and infrastructure. The platform transforms educational content into smart, personalised learning tools - and is already seeing rapid user growth and strong traction in the market. … features across a production platform Working across Python and TypeScript, integrating models into scalable, real-time systems Fine-tuning and training NLP models using techniques like transformers Driving the machine learning strategy and building best practices from the ground up Collaborating closely with product, engineering, and leadership What we're looking for: Strong commercial experience building and deploying More ❯

Machine Learning Engineer - 1 Month Initial Contract 📍 Location: Hybrid 1-2 days per week onsite in London 📅 Start: 24th November - 1 month initially but strong chance of extension 💰 Day Rate: Outside IR35 - rate depending on experience. An established consultancy is seeking a Machine Learning Engineer (Contract) to support a global education organisation on an … documents independently A pre-defined library for initial deployment (e.g., finance or operational materials) Basic access controls, validation and testing Skills & Experience Strong proficiency in Python with experience in machine learning deployment and MLOps tooling Understanding of SharePoint. Strong Azure, or similar cloud-based storage and directory structures Experience building document or knowledge management systems Ability to work More ❯

AI/Machine Learning Engineer – Agentic AI & LLM Systems We’re partnered with a pioneering AI organisation pushing the boundaries of Agentic AI — building systems where LLMs reason, act, and collaborate autonomously to drive real-world outcomes. As a Machine Learning Engineer , you’ll design the frameworks, tools, and data loops that allow intelligent … systems. What You’ll Do: Build Agentic Systems – Develop and optimise LLM-based agents that can reason, plan, and execute multi-step tasks autonomously. Enhance LLM Reasoning – Apply reinforcement learning, tool use, and reflection techniques to strengthen decision-making and contextual understanding. Design Scalable Frameworks – Create data pipelines, annotation tools, and evaluation flywheels that accelerate model iteration and feedback … Experiments End-to-End – Own your compute environment (e.g. Jupyter, Colab, Databricks) and iterate on large-scale LLM training and evaluation. What You’ll Bring: 4+ years’ experience in Machine Learning or AI , with exposure to LLM agent systems , tool-use frameworks, or generative AI. Advanced proficiency in Python and ML frameworks such as PyTorch or TensorFlow . More ❯

Machine Learning Engineer, London (5 days a month in office), £90,000 - £110,000 per annum My client, a leading regulatory intelligence company are currently looking to bring on an ML Engineer on a permanent basis. This is a key hire for the business and will look to move quickly for the right candidate. They are … based in Central London and you will be required in their London office 5 days per month. As ML Engineer, your mission is to: Participate in the continuous improvement of our client's products Develop advanced NLP and AI-based products that will delight users Provide excellence in cloud-based ML engineering, with as much focus on Operations as … Development. Expand of the Team’s knowledge via demonstration and documentation Key Responsibilities As a machine learning engineer, your main responsibility is to conduct the development and productionisation of ML and NLP-based features for the client's products - a SaaS Platform and an API. Develop optimal ML & NLP solutions for use cases, from baseline to SOTA More ❯

A leading buy-side firm, is looking for a Machine Learning Engineer to push the boundaries of how data and models are used in systematic investing. This isn’t a research support role — it’s about building the ML infrastructure that directly drives trading strategies and PnL. The Opportunity Work with world-class researchers and portfolio managers … data points, low-latency requirements, and models that need to work in the wild, not just in notebooks . What We’re Looking For Strong hands-on experience with machine learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade … of-market comp: highly competitive base + performance bonus. Culture of excellence: small, high-performing teams where engineers, quants, and PMs work side by side. If you’re a machine learning engineer who wants to operate at the sharp end of finance, building systems that actually move markets, this is the role. More ❯

Please note this Role is based in London, local candidates only! Solvo.ai is redefining global container shipping with AI. We build machine learning systems that power intelligent, sustainable, and profitable decision-making for one of the world’s most complex industries. Nothing we do is hypothetical. Everything we do has a measurable impact. Our combined experience of over … stand proudly, not just for what we achieve, but for how we achieve it - creating trust through professionalism, integrity, and transparency. The role: We are looking for an exceptional Machine Learning Engineer (MLE) to join our team and accelerate the next generation of Solvo’s AI products. This is a hands-on role at the intersection of … onto the broader business context. You will have the freedom to propose, research and implement innovative new ideas to improve our system. If you want to apply cutting-edge machine learning to a trillion-dollar industry, and you’re motivated by seeing your work have immediate business impact, we’d love to hear from you. Your responsibilities Innovate More ❯

Machine Learning Research Engineer Location: London (Hybrid) Salary: Competitive + Benefits We’re working with a rapidly growing AI company developing cutting-edge technology that enhances real-time voice and audio communication. Their products use advanced deep learning and signal processing techniques to isolate speech and remove background noise, improving clarity and focus across a range … of industries, from enterprise software to high-performance environments. They’re now looking for a Machine Learning Research Engineer to join their R&D team in London. The successful candidate will work at the intersection of machine learning, signal processing, and real-time systems , developing and deploying novel models that push the limits of audio … intelligence. Responsibilities: Research and prototype deep learning models for speech enhancement and separation. Design and optimise training pipelines using large-scale audio datasets. Collaborate with engineering teams to deploy models into real-world, low-latency environments. Stay up to date with new research and contribute to the company’s IP. Requirements: Background in audio or speech-related ML (e.g. More ❯

Senior Machine Learning Engineer – AI & NLP £100,000 – £110,000 (+10% bonus) London – 4 x a week in office La Fosse have partnered with a global business using cutting-edge AI to transform complex decision-making and data-driven processes. We are seeking a Senior Machine Learning Engineer to design and deploy production-ready More ❯

Machine Learning Engineer (Conversational AI) Clearance: BPSS Eligible Start: ASAP Work pattern: Hybrid Work type: 12 month FTC (Competitive Salary) Amber Labs are supporting a major government programme focused on transforming public services through the use of AI and automation. This programme is shaping how people interact with digital services across departments — improving accessibility, efficiency, and user … experience. We’re looking for a Machine Learning Engineer (Conversational AI) to help design and build advanced conversational and agentic AI solutions. You’ll work with multi-disciplinary teams to deliver innovative AI-driven tools and services that make a real impact on the public sector. Key Responsibilities: Design and develop conversational AI workflows using frameworks such More ❯

We’re hiring: Machine Learning Engineer (LLMs & AI Agents) We’re looking for a hands-on Machine Learning Engineer to help design, deploy, and optimise the next generation of AI agents powered by large language models (LLMs) . This is your chance to work at the cutting edge of generative AI — turning research into More ❯

We are partnering with an early-stage, mission-driven company at the intersection of AI and national defence to appoint exceptional Machine Learning Engineers . This fast-growing organisation is transforming mission-critical combat planning and operational decision-making by building next-generation AI software tools for Western forces. Founded in 2023, the company has already secured significant … leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using AI technology to solve complex, real … the product team, to identify and capitalise on high-impact opportunities Keep the company at the forefront of innovation by exploring and applying the latest research Requirements: MSc in Machine Learning, Computer Science, or a related field 5+ years of experience in machine learning, with an expertise in modelling, prototyping, and evaluation Strong software engineering skills More ❯

London | Hybrid/Remote | £70,000 - £90,000 + stock options + Benefits Company Overview We’re a fast-growing FinTech building fairer and smarter lending solutions. Using advanced machine learning and rich financial data, we create credit products that improve outcomes for individuals and small businesses. Our mission is to make lending transparent, responsible, and accessible—and … us means you’ll be part of a collaborative, hands-on team where your work directly contributes to how we assess and manage risk. The Role As a Senior Machine Learning Engineer, you’ll take technical ownership of our credit risk model suite — iterating, optimising, and deploying production-ready ML systems that drive real-world impact. You … of credit risk and behavioural models using Python and frameworks such as XGBoost and scikit-learn. Responsible for creating proprietary data enrichment algorithms. Guide the evolution toward a self-learning model framework, improving automation and adaptability over time. Design and oversee feature testing and evaluation to enhance predictive performance and interpretability. Use BigQuery and GCP tools (including CloudRun) to More ❯

Role: Machine Learning Engineer London: Central London - hybrid working Salary: £125,000 + bonus + benefits Industry: Technology Scale Up, circa 300 people The role: You will lead the design & development of robust Machine Learning models to solve complex problems. You will work alongside MLOps to help build the ML infrastructure for these models to … these efficiently. You will continuously collaborate across internal stakeholders to ensure the models being built are improving customer experience, and business efficiency. What we're looking for: Experienced ML Engineer, working across LLM, Computer Vision, NLP, Deep Learning Experience with deploying ML models into production An understanding of emerging technologies - such as Retrieval-Augmented Generation (RAG) and Knowledge More ❯

SENIOR ML ENGINEER/LONDON/£110K Want to be hands-on with AI, working on greenfield projects for a growing business in the FinTech space? I'm looking for an experienced Machine Learning Engineer to join a growing business who are going more AI-focused. The business have gone through a recent funding round and … base salary 25 days holiday plus bank holiday Flexible, hybrid working from central London And much more What do we need from you? PyTorch, Python , understanding of the machine learning ecosystem AWS ETL processes Good understanding of vector databases (they use open search) Proven experience using LLMs through APIs Sound like you? No CV is needed at this More ❯