11 of 11 Machine Learning Engineer Jobs in the City of London

Machine Learning Engineer Location – London (Hybrid) Do you have at least 5 years of experience as a AI & Machine Learning Engineer? Commercially minded with good business acumen alongside technical ability? Hold a Bachelor’s or Master’s degree in Computer Science, Data Science … Experience? (Ideal but not essential) The Role My client, (A Leading International Law Firm) both have an urgent requirement to appoint an experienced AI & Machine Learning Engineer to join their friendly and supportive Data Science team based at their prestigious offices based in Central London. ...

Machine Learning Engineer Location – London (Hybrid) Do you have at least 5 years of experience as a AI & Machine Learning Engineer? Commercially minded with good business acumen alongside technical ability? Hold a Bachelor’s or Master’s degree in Computer Science, Data Science … Experience? (Ideal but not essential) The Role My client, (A Leading International Law Firm) both have an urgent requirement to appoint an experienced AI & Machine Learning Engineer to join their friendly and supportive Data Science team based at their prestigious offices based in Central London. ...

Software Engineer (AI Research/Machine Learning) Duration: 6 Months (Extension possible) Location: London – Hybrid, 3 days onsite per week Working Hours: Monday to Friday, 9:00 AM – 6:00 PM (40 hours per week) About the Role Our client is seeking Research Engineers to join their … interact with the world. This is an opportunity to work on cutting-edge AI research, building large language model (LLM) agents and solving complex machine learning systems challenges at scale. Responsibilities Carry out cutting-edge research to advance the science and technology of machine learning systems. ...

Software Engineer (AI Research/Machine Learning) Duration: 6 Months (Extension possible) Location: London – Hybrid, 3 days onsite per week Working Hours: Monday to Friday, 9:00 AM – 6:00 PM (40 hours per week) About the Role Our client is seeking Research Engineers to join their … interact with the world. This is an opportunity to work on cutting-edge AI research, building large language model (LLM) agents and solving complex machine learning systems challenges at scale. Responsibilities Carry out cutting-edge research to advance the science and technology of machine learning systems. ...

Research Engineer – Machine Learning & AI Systems Location: London, UK (Hybrid – 3 days onsite per week) Contract: Initial 6-month contract with potential extension Working Hours: Monday to Friday, 9:00 AM – 6:00 PM (40 hours per week) About the Role We are looking for a Research … Engineer with a passion for machine learning, large language models, and AI systems to join a world-class research team working on cutting-edge AI technologies. This is an exciting opportunity to contribute to innovative research while developing scalable systems that help advance the next generation ...

CT19 is partnering with an innovative AI-driven drug discovery company that is building advanced machine learning solutions for drug discovery. Having established a strong customer base across biotech and pharma, they are now looking to hire a Research Engineer to help scale its machine learning … next generation of computational drug discovery tools. This is an opportunity to join a highly technical, multidisciplinary team working at the intersection of machine learning, chemistry, biology and software engineering. You'll play a key role in developing production-grade ML systems, supporting scientific innovation, and helping deliver ...

CT19 is partnering with an innovative AI-driven drug discovery company that is building advanced machine learning solutions for drug discovery. Having established a strong customer base across biotech and pharma, they are now looking to hire a Research Engineer to help scale its machine learning … next generation of computational drug discovery tools. This is an opportunity to join a highly technical, multidisciplinary team working at the intersection of machine learning, chemistry, biology and software engineering. You'll play a key role in developing production-grade ML systems, supporting scientific innovation, and helping deliver ...

engaging closely with both technical and non-technical stakeholders. Delivery is supported by a strong technical assurance and review culture, encouraging challenge, learning and high standards. You will work within security, compliance and governance constraints where quality and judgement matter as much as pace. What You'll Be Doing … Lead end-to-end delivery of machine learning solutions, from problem definition through experimentation, evaluation and iteration Develop, validate and deploy machine learning models into production environments Apply statistical, mathematical and scientific thinking to frame hypotheses and assess uncertainty Design and run experiments to evaluate model ...

Machine Learning Engineer, NLP | InsurTech, AI, Scale-up | London 5 Days in Office, Up to £165,000+Stocks & Benefits Owen Thomas is partnering with a high-growth, venture-backed InsurTech scale-up that is disrupting a massive $200B global market. Using AI they deliver automation that … Europe’s and Silicon Valley's most prestigious venture capital firms. As they scale towards their next major milestone, they are seeking a Machine Learning Engineer to help build the AI platform powering the future of automated operations. This is a full-time, office-based role ...

Machine Learning Engineer, NLP | InsurTech, AI, Scale-up | London 5 Days in Office, Up to £165,000+Stocks & Benefits Owen Thomas is partnering with a high-growth, venture-backed InsurTech scale-up that is disrupting a massive $200B global market. Using AI they deliver automation that … Europe’s and Silicon Valley's most prestigious venture capital firms. As they scale towards their next major milestone, they are seeking a Machine Learning Engineer to help build the AI platform powering the future of automated operations. This is a full-time, office-based role ...

Graduate Machine Learning Engineer Intellect Group | London, UK (Hybrid) | £35,000 – £45,000 About the Opportunity Intellect Group is actively recruiting Graduate Machine Learning Engineers on behalf of high-growth technology and AI-first companies across the UK. If you've recently completed a degree … Computer Science, or a related field and want to build real-world machine learning systems from day one, we want to hear from you. We work with a range of exciting clients — from funded AI startups to established tech businesses — who are hiring junior ML talent right now. ...

global leading business is hiring a Senior Machine Learning Engineer. Hybrid position. Paying up to £1000 per day. Outside IR35 Experience and skills required for the Senior Machine Learning Engineer, Quantisation, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ In depth experience with … following Machine Learning: Quantization, PEFT, DeepSpeed, ONNX, TensorRT Deep Learning with PyTorch Experience with Strong experience working with inference servers like multi-LoRa, LoRA Exchange, TitanML ️ Previous industry exposure to multi-node HPC clusters ️ Experience with Large language models - OpenAI, Mistral, Claude, LLaMA Large language model ...

create impactful solutions that give defenders the tools they need to protect themselves. Role Description This is a full-time hybrid role for a Machine Learning (ML) Engineer based in the London Area, United Kingdom, with flexibility for remote work. The ML Engineer will be responsible … designing, developing, and implementing machine learning models. Day-to-day tasks include working on pattern recognition, building and optimizing algorithms, collaborating with data scientists, and analysing data using advanced statistical techniques. The ML Engineer will also contribute to the development of neural network architectures to address complex ...

create impactful solutions that give defenders the tools they need to protect themselves. Role Description This is a full-time hybrid role for a Machine Learning (ML) Engineer based in the London Area, United Kingdom, with flexibility for remote work. The ML Engineer will be responsible … designing, developing, and implementing machine learning models. Day-to-day tasks include working on pattern recognition, building and optimizing algorithms, collaborating with data scientists, and analysing data using advanced statistical techniques. The ML Engineer will also contribute to the development of neural network architectures to address complex ...

global leading business is hiring a Senior Machine Learning Engineer. Hybrid position. Paying up to £1000 per day. Outside IR35 Experience and skills required for the Senior Machine Learning Engineer, Quantisation, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ In depth experience with … following Machine Learning: Quantization, PEFT, DeepSpeed, ONNX, TensorR click apply for full job details ...

looking for a Machine Learning Research Engineer to join an early-stage quantum computing start-up developing full-stack quantum systems. This role sits at the intersection of advanced ML research and applied engineering, focusing on generative algorithms and hybrid quantum-classical models. You’ll work closely … with clients and partners to show how ML and quantum technologies can solve real-world challenges. Responsibilities: Design, implement, and evaluate new machine learning algorithms, particularly generative models (GANs, flow models, diffusion models) and hybrid quantum-classical neural networks. Partner with clients to translate practical problems onto ...

Title: Data Scientist/Machine Learning Engineer Location: UK Experience: 2–5 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based … Cloud Hosted Services organizations as well as Mobile Apps and Service companies. Required Skills: 2-4 years of experience in Data science/Machine learning models from coding to deployment. Work with datasets using Python or R, SQL, No SQL. Assist in developing predictive and statistical models Write ...

Title: Data Scientist/Machine Learning Engineer Location: UK Experience: 2–5 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based … Cloud Hosted Services organizations as well as Mobile Apps and Service companies. Required Skills: 2-4 years of experience in Data science/Machine learning models from coding to deployment. Work with datasets using Python or R, SQL, No SQL. Assist in developing predictive and statistical models Write ...

Health Partners (PHP)—the proven venture platform behind Metsera and Corsera Health—we're building the future of population health management. As a Senior Machine Learning Engineer, you will sit at the intersection of data science, platform engineering, and production systems. Your mission is to design … dynamic, and highly collaborative work environment Competitive salary and benefits package, including participation in our equity program Minimum Qualifications 5+ years of experience in machine learning engineering, data engineering, or a related field Strong Python engineering skills with production-quality, typed, and tested code Track record productionizing ...

Hiring: Role: MLOps Engineer Duration: 6 Months (Plus possible extension) Location: London, UK (Hybrid) Experience: 5+ Years We are looking for an experienced MLOps Engineer to join a growing ML Engineering team and drive the deployment, monitoring, and optimization of machine learning solutions in production. … will have strong expertise in GCP Vertex AI , Python development, cloud infrastructure, and MLOps best practices. Key Skills & Experience 5+ years of experience in Machine Learning Engineering/MLOps. Strong hands-on experience with GCP Vertex AI (essential); Azure experience is a plus. Expertise in Python , Flask/ ...

Hiring: Role: MLOps Engineer Duration: 6 Months (Plus possible extension) Location: London, UK (Hybrid) Experience: 5+ Years We are looking for an experienced MLOps Engineer to join a growing ML Engineering team and drive the deployment, monitoring, and optimization of machine learning solutions in production. … will have strong expertise in GCP Vertex AI , Python development, cloud infrastructure, and MLOps best practices. Key Skills & Experience 5+ years of experience in Machine Learning Engineering/MLOps. Strong hands-on experience with GCP Vertex AI (essential); Azure experience is a plus. Expertise in Python , Flask/ ...

Role Highlights: Position: Machine Learning Engineer (MLOps Lead) Location: London, UK Contract: 6 months (extendable) Tech Focus: GCP (Vertex AI – essential), Python, APIs, CI/CD, Docker Key Skills Required :Strong MLOps/ML Engineering experience (5+ years )Hands-on experience with GCP (Vertex AI )Excellent Python ...

Role Highlights: Position: Machine Learning Engineer (MLOps Lead) Location: London, UK Contract: 6 months (extendable) Tech Focus: GCP (Vertex AI – essential), Python, APIs, CI/CD, Docker Key Skills Required :Strong MLOps/ML Engineering experience (5+ years )Hands-on experience with GCP (Vertex AI )Excellent Python ...

Engineer - Reinforcement Learning London (hybrid, 1 day/week in Kings Cross)- Solve Data Centres Cooling issues Cooling is one of the largest items on a data centre's energy bill, and most sites run it conservatively because getting it wrong puts the hardware at risk. Our client … trains reinforcement learning agents to control cooling systems on live sites, cutting cooling energy without breaching the temperature and humidity limits operators are contractually bound to. They're hiring an ML Engineer - Reinforcement Learning to build those agents and get them running on real data centres. ...

working with a global media company looking for a Senior ML Engineer to own personalisation end to end. You'll be shipping models to production, building the pipelines that feed them, and running the experiments that improve them, all in service of recommendation engines and ranking algorithms that directly … production — performance, availability, relevan ce→ Lead A/B testing and offline experiments to drive continuous improveme nt→ Evaluate emerging research in deep learning and GenAI for real-world integrati on ' :✦ Full ML lifecycle experience — from development through to monitoring in p rod✦ Python + TensorFlow or PyTo ...