1 to 25 of 44 Permanent Machine Learning Engineer Jobs in the City of London

We encourage everyone to take responsibility and to be accountable. The Role 🧐 We're expanding our small and talented team and looking for a dedicated, proactive, and diligent ML Engineer to grow with us and enhance our ML and AI capabilities. This role will be a senior hire responsible for the software development and technical infrastructure needed to design … train, deploy and scale machine learning models in production environments. You will harness a diverse array of data sources, from streaming services to social media, revolutionizing the way artists promote their music. Our Data Team members are full stack data professionals who independently manage projects across the complete spectrum, from raw data ingestion to deployment, monitoring, and optimization. … While this role emphasizes data engineering and ML deployment, you will have the responsibility of managing projects with autonomy across the full data lifecycle. Responsibilities📝 As an ML Engineer at Un:hurd music, you'll be: MLOps and Model Deployment : Own the deployment, maintenance, and retraining of machine learning models in production environments, designing scalable system architectures More ❯

An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware … systems. We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include: Search relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement … optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate More ❯

time image-to-image transformation models, with a special focus on 3D applications and rendering engine integration . Leveraging the latest in GANs, diffusion models, and large-scale deep learning, our research-driven team values autonomy, creativity, and technical excellence. Join us to help shape the future of real-time 2D/3D generative AI in a highly collaborative … and innovative environment. Role Description We are seeking a Machine Learning Engineer – Generative AI to join our onsite team in London. In this role, you will design, implement, and optimize advanced generative AI models for real-time image and 3D applications, collaborating closely with experts in computer graphics and rendering. You’ll have the opportunity to work … on some of the most technically challenging problems at the intersection of deep learning and real-time 3D systems. Minimum Qualifications Ph.D. in Computer Science, Mathematics, Electrical Engineering, or a related field; or Master’s degree with 2+ years of relevant industry experience; or Bachelor’s degree with 4+ years of relevant industry experience. Strong expertise in deep learning More ❯

Machine Learning Engineer London (Hybrid) Up to £65,000 Greenfield work One of La Fosse’s best clients are currently seeking a talented ML Engineer for their greenfield AI team. Join a cutting-edge innovation department within a fast-paced financial environment, helping to shape the next generation of intelligent compliance tools. I’m looking for … a Machine Learning Engineer to join a small & agile development team focused on building out a greenfield AI-powered transaction monitoring platform. You'll work on everything from ML model development and GenAI summarisation pipelines to MLOps and multi-agent systems—with real-world impact on financial security and compliance. What You’ll Do: Develop and deploy … machine learning models for anti-money laundering and counter-terrorist financing. Contribute to dynamic monitoring systems using tools like TensorFlow, OpenAI, and LangChain. Help design GenAI pipelines and consensus mechanisms across a distributed agent system. Work alongside DevOps to build scalable, automated ML deployment pipelines. Write clean, well-documented code using Python and modern tooling (gRPC, Alembic, Pytest More ❯

SENIOR MACHINE LEARNING ENGINEER - MLOPS REMOTE (Travel to London once per month) Up to £75,000 + £5,000 bonus + strong pension COMPANY: We are working with a leading telecoms/mobile network who are looking to change the game when it comes to the service it provides its customers. They are looking for an MLOps … Engineer that is passionate about tech and working within a fast paced environment. ROLE: Design, build, and deploy scalable machine learning models to solve complex business problems. Implement and maintain robust MLOps pipelines, ensuring efficient CI/CD processes for machine learning. Automate the deployment and monitoring of models in production to ensure continuous performance and … stability. Collaborate closely with data scientists, helping them move models from development to production seamlessly. Monitor and troubleshoot machine learning models in production environments, ensuring uptime and accuracy. Develop best practices around model versioning, testing, and governance. Stay up-to-date with the latest developments in ML engineering, cloud services, and automation tools. REQUIREMENTS: 4+ years of experience More ❯

Senior Machine Learning Engineer 📌 Industry: Insurtech 🏢 Company size: Approximately 200 employees 🌍 Working environment: Hybrid (2 days a week in Central London) 💷 Salary: Up to £110K based on experience + bonus Are you passionate about building innovative technology solutions using cutting-edge AI? Do you want to play a critical role in shaping products that can make a … meaningful impact on people's lives? We're looking for an experienced Senior Machine Learning Engineer to join an exciting team that's reshaping their industry. This unique opportunity is focused specifically on AI Engineering, rather than traditional ML engineering, with a strong emphasis on LLM Ops. What you'll do: Develop and refine advanced machine learning models to solve complex challenges. Leverage your NLP expertise to build intelligent solutions, including working with Large Language Models (LLMs). Design and deploy scalable, production-ready AI systems. Collaborate with product managers, data scientists, developers, and DevOps teams in a dynamic, cross-functional environment. Implement CI/CD practices, ensuring seamless and reliable model deployments. What More ❯

Job Title: Machine Learning Engineer Location: London (1 days per week onsite) - Flexible Salary: £45,000 DOE + Benefits Our Data Analytics business continues to grow and we are now looking for an experienced and technical Machine Learning (ML) Engineer to join one our offices with hybrid or remote UK working. This is an … and would most likely suit someone with previous experience in a similar role where they have gained knowledge and experience of designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. You must have good technical knowledge of Phyton, SQL, CI/CD and familiar with Power BI. A FTSE … valuable and timely insights from data. This enables the consultant to better advise Trustees and Corporate clients on a wide range of actuarial-related areas. The Role As a Machine Learning Engineer you will: Model development. Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes More ❯

Location: London, UK (3 days in office) SC Cleared: Required Job Type: Full-Time Experience: 10 –15 years (Relevant exp 5+ years) Job Summary: We are seeking an experienced Machine Learning Engineer with expertise in big programmes and has contributed to the delivery of complex business cloud solutions. The ideal candidate will have a strong background in … Machine Learning engineering and an expert in operationalising models in the Databricks MLFlow environment (chosen MLOps Platform). Responsibilities: Collaborate with Data Scientists and operationalise the model with auditing enabled, ensure the run can be reproduced if needed. Implement Databricks best practices in building and maintaining economic modelling (Machine Learning) pipelines. Ensure the models are modular. More ❯

Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: Has deep … be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

Senior Engineer - ML Generalist London (Hybrid/Remote) Competitive Salary (Open to all levels) We are partnered with an exciting new AI startup backed by the same VC behind Revolut. They are revolutionizing the way people interact with AI-powered creativity, building cutting-edge multimodal LLM-based agents and GenAI workflows for image, video, and 3D applications. Their team More ❯

Principal Machine Learning Engineer Paying between £100,000-£140,000 Hybrid in Central London La Fosse is partnered with a leading insurance company who are looking for an experienced Principal Machine Learning Engineer to drive their AI innovation at scale. They are looking for someone to lead a dynamic team in designing and deploying … of AI-driven solutions, from concept to execution. Work with business leaders and domain experts to implement AI methodologies that solve complex challenges. Oversee/mentor a team of Machine Learning engineers and Data Scientists, pioneering advancements in deep learning, NLP, and Generative AI. Leverage internal and external data sources to develop AI-powered business models that … is a plus. Relevant experience in the insurance or financial sector is beneficial. If you’re interested in this role, apply through the AD to find out more! Principal Machine Learning Engineer More ❯

Role : Machine Learning Engineer Location : London, UK (Hybrid) Salary : £50k–£65k (DOE) Are you passionate about artificial intelligence, innovation, and building systems with real-world impact? Join a fast-paced innovation team working on cutting-edge compliance technology that integrates machine learning, generative AI, and multi-agent systems for the next generation of financial monitoring. … We're looking for a Machine Learning Engineer to support the development of a greenfield compliance platform focused on anti-money laundering (AML) and counter-terrorist financing (CTF). You’ll help design scalable ML infrastructure, build real-time monitoring systems, and explore the latest advancements in AI. Your Responsibilities: Contribute to a New ML-Driven Platform … Build advanced AML/CTF transaction monitoring modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. Drive Deployment and ML Operations: Collaborate with More ❯

Job Title: Machine Learning Engineer Location: London 1-2 days a week Salary: £90,000-£120,000 + 15% bonus Visa Sponsorship: Is on offer for strong candidates About the Role My client is hiring a Machine Learning Engineer to join a small but impactful team at the intersection of deep learning, computer … optimize artist pipelines while building cutting-edge ML models that work with 3D data and real-world runtime systems. What You’ll Be Working On Designing and training deep learning models end-to-end Experimenting with GenAI architectures (VAEs, Diffusion Models, Transformers) Building real-time tracking systems for devices Working with 3D geometry, meshes, and tools like Blender Supporting … automation efforts to streamline creative production pipelines What We’re Looking For Solid experience with deep learning and 3D modelling Strong Python skills Proficiency in C++ (especially for low-level or runtime systems) Familiarity with GenAI and recent ML research trends Exposure to 3D environments, animation, or game engines Comfort working in cross-disciplinary teams (engineering x creative) A More ❯

global leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Machine Learning Researcher with a strong background in machine learning, AI, or related fields. You’ll contribute to innovative projects in areas such as large language models … LLMs), reinforcement learning, and optimization for chip design and AI system integration. Responsibilities: Conduct and publish cutting-edge AI/ML research Design algorithms for chip optimization and intelligent systems Collaborate with engineering teams to integrate AI into real-world tools Stay current on AI trends and contribute to open research Requirements: PhD or equivalent experience in ML, AI … CS, physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization frameworks Why Join Us: Work on impactful AI research with real-world More ❯

Machine Learning Engineer – Founding Team | Stealth AI Startup (Audio + Generative Models) Location: London (Hybrid) | Full-time | Competitive Salary + Equity A well-funded, early-stage startup backed by top-tier investors is seeking an ambitious Machine Learning Engineer to join as their first full-time ML hire . As a core member of … What We’re Looking For PhD in a relevant field (e.g., Deep Generative Models, TTS, ASR, NLU), or equivalent industry experience. Deep expertise in voice conversion, generative models, deep learning, or statistical modeling. Strong hands-on experience with ML frameworks (PyTorch, TensorFlow, Keras). Proficiency in Python and C/C++. Experience with scalable data tools (e.g., PySpark, Kubernetes More ❯

supporting our clients’ policies. Renowned for our “nothing is impossible” ethos, we prioritize trust, transparency, and innovation in everything we do. About the Role: We are looking for a Machine Learning Engineer with Data Engineering expertise to help scale our platform. In this hybrid role, you’ll design data pipelines, develop ML models, and work across data … s capabilities. If you thrive in a collaborative, fast-moving environment and want to make a real-world impact, we’d love to hear from you! Scope of Work: Machine Learning Engineering • Design, develop, evaluate, and deploy machine learning models for production. • Optimize model performance based on key metrics for scalability, reliability, and real-world impact. … to data pipelines, ML workflows, and system reliability. • Ensure seamless integration of new ML models and data-driven features into production. Your Profile: Experience in both data engineering and machine learning, with a strong portfolio of relevant projects. Proficiency in Python with libraries like TensorFlow, PyTorch, or Scikit-learn for ML, and Pandas, PySpark, or similar for data More ❯

Job Title: Machine Learning Engineer Location: London 1-2 days a week Salary: £90,000-£110,000 + 15% bonus Visa Sponsorship: Is on offer for strong candidates About the Role My client is hiring a Machine Learning Engineer to join a small but impactful team at the intersection of deep learning, computer … optimize artist pipelines while building cutting-edge ML models that work with 3D data and real-world runtime systems. What You’ll Be Working On Designing and training deep learning models end-to-end Experimenting with GenAI architectures (VAEs, Diffusion Models, Transformers) Building real-time tracking systems for devices Working with 3D geometry, meshes, and tools like Blender Supporting … automation efforts to streamline creative production pipelines What We’re Looking For Solid experience with deep learning and computer vision Proficiency in C++ (especially for low-level or runtime systems) Familiarity with GenAI and recent ML research trends Strong Python skills Exposure to 3D environments, animation, or game engines Comfort working in cross-disciplinary teams (engineering x creative) A More ❯

Machine Learning Engineer – Founding Team (Computer Vision/GenAI) Location: Remote-first (UK-based) | Salary: £50k–£70k + Equity A well-backed, early-stage startup is building a cutting-edge AI platform that transforms real-world visitor experiences at physical venues — from cultural institutions to entertainment destinations. Following successful pilots with major partners and recent pre-seed … investment, we’re scaling up and looking for a Machine Learning Engineer to lead the development of our core AI systems. What You’ll Work On: 🔹 Computer Vision: Enable the system to recognise what users are viewing in real time using image embeddings, similarity search (e.g. CLIP, vector search), and traditional CV approaches (e.g. YOLO, MobileNet). More ❯

Founding Machine Learning Engineer - AI Start-Up (On-Site | Equity + Salary) A rare opportunity to join one of London’s most exciting AI start-ups at the ground level! Backed by top-tier investors and led by a world-class founding team from Oxford, Cambridge, and Imperial , this company is pushing the boundaries of applied AI. … They’re now looking for a Founding Machine Learning Engineer to join the core technical team and lead the development of their ML systems from the ground up. 🤖 About the Company: Founded by experienced operators with multiple AI start-up successes under their belts, this venture is already attracting serious attention. With strong financial backing and a … world problems. This is not just another AI start-up - it’s a company where cutting-edge research meets practical, scalable product development. 🧠 The Role: As a founding ML engineer, you’ll be deeply involved in shaping the entire ML pipeline - from research and prototyping to model deployment and optimisation. You’ll work closely with product and engineering to More ❯

global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time Machine Learning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics … does not provide visa sponsorship. 🚀 What You'll Do As a Machine Learning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models. You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: Developing, training, and validating … critical in advancing the capabilities of our models and supporting Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of professional experience in Machine Learning Engineering or a similar role. Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch. Proven experience with computer vision and a More ❯

Voluntary Benefits Health Cash Plan, Dental, Will Writing etc Annual Leave 23 days rising to 27 with length of service Sick Pay Increasing with length of service Role overview: Machine Learning Engineer (Manchester or London, Hybrid working) We are looking for an experienced Machine Learning Engineer to join a newly formed data science team. … currently in Databricks and Azure) Experience with Databricks Experience with managed endpoints, AKS or equivalent Experience with VCS Experience with CI/CD Understanding/identifying opportunity to apply machine learning knowledge to solve business problems Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights … clients to engage, develop and harness the skills they need to achieve and grow the workforce they want. Our culture: At Peregrine we embrace fresh ideas, and we love learning fast. Our solutions are trusted and established, so we have the confidence of knowing we have a solid foundation. We rely on openness and honesty, and were always ready More ❯

Do you want to leverage your AI/ML skillset in a rapidly growing start-up that’s focused on Gen AI advancements? Do you want the freedom to work with a diverse range of clients and be responsible for More ❯

Machine Learning Engineer - London Salary: £80,000 – £150,000 + Equity About Them Our client are a fast-growing AI startup revolutionising the video intelligence space. They've been building a cutting-edge video AI platform that delivers real-time insights and exceptional user experiences across various industries. Their team, composed of experienced professionals from leading technology … firms, is tackling cutting-edge challenges at the intersection of machine learning, infrastructure, and product development. Responsibilities Fine-tune open-source PyTorch models using proprietary datasets. Convert and optimise models for high-performance C++ runtimes. Design and execute experiments balancing latency, accuracy, and robustness. Integrate ML models into production pipelines and own downstream performance metrics. Maintain and improve … existing ML systems in our production environment. Stay current with deep learning research and propose practical applications in the video AI domain. About you Solid software engineering skills with a focus on writing production-grade code. Strong foundations in machine learning. Experience with PyTorch and Python 3; familiarity with C++ preferred. Experience with containerisation (Docker), model profiling. Why More ❯

Machine Learning Engineer - Up to £150k + Equity Location: Central London, 5 days onsite Salary: £80,000 – £150,000 + Equity About Them Our client are a fast-growing AI startup revolutionising the video intelligence space. They've been building a cutting-edge video AI platform that delivers real-time insights and exceptional user experiences across various … industries. Their team, composed of experienced professionals from leading technology firms, is tackling cutting-edge challenges at the intersection of machine learning, infrastructure, and product development. Responsibilities Fine-tune open-source PyTorch models using proprietary datasets. Convert and optimise models for high-performance C++ runtimes. Design and execute experiments balancing latency, accuracy, and robustness. Integrate ML models into … production pipelines and own downstream performance metrics. Maintain and improve existing ML systems in our production environment. Stay current with deep learning research and propose practical applications in the video AI domain. About you Solid software engineering skills with a focus on writing production-grade code. Strong foundations in machine learning. Experience with PyTorch and Python 3; familiarity More ❯

MACHINE LEARNING SCIENTIST - Simulations and Optimisation £60,000 - £80,000 HYBRID - London COMPANY: We are working with an exciting AI startup who focus on using digital twin technology to help predict and capture future demand and maximise resources amongst transport networks ROLE: Focus on technical work around simulation and optimisation. Building real time pictures/data sets and … model to look at historical data and uncovering real time system dynamics through live components Predictive modelling to predict passenger flow Mix of classical ML, simulation optimisation and deep learning REQUIREMENTS: Proven experience in optimisation and/or simulation A strong background in classical ML 3+ Years experience An MSc or PhD in a strong STEM subject PROCESS: Intro More ❯