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Proven experience in MLOps or DevOps roles within machine learning environments. Are you passionate about deploying and scaling machine learning solutions in production environments? Do you thrive in a fast-paced, tech-driven setting? We're looking for a talented ML Ops Engineer to join our growing

The platform applies machine learning to real-world data to analyse and improve how content performs at scale, moving decision-making away from guesswork and towards measurable insight. Lead the development and deployment of machine learning models used in a live SaaS product. Strong experience as a

ML / AI Engineer (Python/Azure), Fully Remote, £80,000 - £110,000 per annum.My client, a leading AI solutions company are currently looking to strengthen their team and bring on an ML / AI Engineer on a permanent basis.GenAI, ML Models as well as coding in Python.Build and integrate ML models into

Wanting to turn advanced machine learning into dependable production systems, you will shape technical delivery and drive real-world impact for clients. This role involves designing and delivering robust machine-learning systems from concept to live operation, develop shared approaches that speed up

Machine Learning Research Engineer - LLM post-training/mid-training. Computer Science, Machine Learning, or a closely related discipline. Strong grasp of transformer architectures, optimization techniques, and representation learning principles.

Lead Machine Learning Engineer. In this role, you will provide senior technical leadership across complex machine-learning initiatives, shaping direction and priorities, guiding teams and stakeholders through ambiguous, high-risk delivery, building durable shared solutions, growing engineering capab

Senior / Staff Machine Learning Engineer - Gaming. Deep understanding of machine learning, data analysis, and statistical modelling.

Strong background in deep learning and transformer architectures.

We are working with a fully remote gaming and entertainment business that is scaling its data and machine-learning capabilities. With strong backing for data-driven decision-making, they are now looking for a Machine Learning Engineer to help operationalise, maintain, and optimise their ML systems a

Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). Machine Learning Senior Staff Engineer.

Machine Learning Engineer - Contract (Financial Services, Outside IR35). Design, build, and deploy machine learning models into production within a Financial Services environment.

With strong backing for data-driven decision-making, they are now looking for a Machine Learning Engineer to help operationalise, maintain, and optimise their ML systems across the organisation. Deploy, productionise, and monitor machine-learning models across the business. We are working with a ful

Lead the development and deployment of machine learning models used in a live SaaS product. Strong experience as a Machine Learning Engineer / AI Engineer in a product-led environment. The platform applies machine learning to real-world data to analyse and improve how content performs at scale, movi

Senior / Staff Machine Learning Engineer - Gaming. Deep understanding of machine learning, data analysis, and statistical modelling.

ML / AI Engineer (Python/Azure), Fully Remote, £80,000 - £110,000 per annum.My client, a leading AI solutions company are currently looking to strengthen their team and bring on an ML / AI Engineer on a permanent basis.GenAI, ML Models as well as coding in Python.Build and integrate ML models into

Machine Learning Research Engineer - LLM post-training/mid-training. Computer Science, Machine Learning, or a closely related discipline. Knowledge of alignment and reasoning strategies, including in-context learning, chain-of-thought, tool integration, or retrieval-augmented approaches.

Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). Machine Learning Senior Staff Engineer.

Machine Learning Engineer - Contract (Financial Services, Outside IR35). Design, build, and deploy machine learning models into production within a Financial Services environment.

Strong background in deep learning and transformer architectures.

You have end-to-end experience with machine-learning workflows, including taking trained models and integrating them into live systems using modern ML tooling. You have a solid grasp of the mathematical and conceptual foundations that underpin modern machine-learning methods. Wanting to turn advance

Design, implement, and deploy machine learning and optimisation models that power real-time pricing decisions at scale. PhD or equivalent research experience in applied mathematics, operations research, or machine learning. You’ll meet members of the team, and one of our Co-Founders, to dig into y

Lead Machine Learning Engineer. In this role, you will provide senior technical leadership across complex machine-learning initiatives, shaping direction and priorities, guiding teams and stakeholders through ambiguous, high-risk delivery, building durable shared solutions, growing engineering capab

You are an experienced machine learning engineer or researcher with a strong track record in applied deep learning, ideally in domains involving high-frequency or large-scale time-series data. Get notified about new Machine Learning Researcher jobs in. Research and implement advanced deep learning a

We're hiring Machine Learning Researchers for our quantitative modelling team. You will design, test, and implement new machine learning models in Python, continually improving our existing state‑of‑the‑art solutions. A strong mathematical understanding of the fundamentals of Machine Learning

Practical experience with classical machine learning techniques and an awareness of modern approaches such as natural language processing and deep learning. We are looking for a Machine Learning Engineer who will support the delivery and operationalisation of advanced artificial intelligence solutio

We're looking for a Machine Learning Engineer to join the Consumer Gen AI Product MLE team at Snap!. A proven passion for machine learning; you stay up‑to‑date with research and are excited about prototyping new ideas quickly. Research or engineering experience in one or more of the following: n

A leading retail group in the UK is looking for a Machine Learning Engineer to help operationalize advanced AI solutions. Your role involves developing robust machine learning models and ensuring their seamless deployment into production. Ideal candidates will have strong skills in Python, SQL, and

A leading service provider in technology is looking for a Head of Machine Learning to lead their engineering team. This permanent role involves developing and deploying machine learning solutions, managing the ML lifecycle, and collaborating with various stakeholders.

Flaky tests kill trust, stall releases, and bleed engineering velocity.We’re building autonomous agents that think like engineers: they run every critical user journey, catch failures before users do, and self-heal as the codebase evolves.Real AI teammates, not test scripts that break on impact.We

We are looking for a Data Annotator / Data Analyst to support the development and evaluation of AI and machine learning solutions. Annotate and label datasets for various AI and machine learning use cases. AI or machine learning problems.

Engineering Lead II - Machine Learning Platform. Enter: our Machine Learning Platform team! 🎉. Your mission and role will be to lead the team building and maintaining a cost efficient and scalable machine learning platform, that is convenient to use and that provides a good engineering and data s

Research and analyse data sets using a variety of statistical and machine learning techniques. Track record of developing, deploying business critical machine learning models. As an Applied AI / ML Lead – Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial &

Machine Learning Engineer | Omics | RNA | DNA | PyTorch | Hybrid, London. The ideal applicant will have experience using genomic data in a machine learning context. To overcome this bottleneck, we use cutting-edge deep learning to accurately and efficiently identify high-value genetic targets for ge

Are you excited about creating AI solutions that make a real difference? Do you want to apply machine learning to high-impact projects in the national security space?. Junior Machine Learning Engineer. In this role, you’ll help design, develop, and deploy machine learning and generative AI solutio

Get notified about new Machine Learning Engineer jobs in the United Kingdom. Machine Learning Engineer - AI Data Trainer. Join to apply for the Machine Learning Engineer - AI Data Trainer role.

Strong understanding of classical Machine Learning and modern Deep Learning methods. Oversee multiple teams working across a wide range of business domains and ensure they deliver complete end to end Machine Learning solutions. Work closely with Technology, Product and Data colleagues to help shape

I am working with an AI Tech Start-Up developing AI solutions for engineering benefits, looking for an AI Machine Learning Engineer. As the AI Machine Learning Engineer, you will join a small team where you can have a large impact on the overall development of the companys software and AI models,

The position blends applied machine learning, deep learning, and statistical modeling with real-world business impact. Explore, model, and analyze complex datasets using machine learning, deep learning, and statistical methods. Senior Machine Learning Scientist (Remote - EMEA).

Building on this momentum, we are recruiting a Machine Learning and AI Engineering Lead to join our Royal Canin Global Data & Analytics Team who will accelerate the shaping and delivery of our Data & Analytics Agenda. The Machine Learning and AI Engineering Lead will oversee ML and AI solution devel

You’ll apply your expertise in software engineering and machine learning to transform manual workflows into automated systems powered by AI.

As a Machine Learning Test Engineer, you will play a critical role in scaling and advancing testing infrastructure for large-scale AI projects. You will work on complex, high-volume test suites across multiple platforms, ensuring that machine learning frameworks operate reliably and efficiently. Pro

Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | London, Hybrid. Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | London, Hybrid. Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | Lond

Your work will influence long‑term platform evolution and help shape the architecture, software stack and tooling that underpins large‑scale machine learning computation. Strong understanding of one or more deep learning frameworks, such as PyTorch.

Some experience applying machine learning in a commercial setting or a PhD/MSc with a focus on machine learning. Develop, support, and enhance internal tools and services for machine learning. A good understanding of machine learning and its use in solving complex real‑world problems.

At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. In order to set you up for success as a Machine Learning Software Engineer at Google DeepMind, we look for the following skills

Senior Machine Learning Scientist (Generative AI) - Viator. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM).

The Reinforcement Learning Team at the Huawei London Research Centre is seeking a highly skilled and research‑driven Machine Learning Scientist to join our team. PhD (or equivalent research experience) in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Research Sci

Principal Machine Learning Engineer, Advanced Network Orchestration. We are seeking a highly experienced Machine Learning Engineer for a hybrid role focused on advanced temporospatial networking and resource management.