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

Masters or advanced degree in artificial intelligence, machine learning, natural language processing, computer vision, or related field. We’re looking for a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production ML systems with ownership from exp

Long-term role with the opportunity to influence the Machine Learning roadmap and system design. Senior Machine Learning Engineer. The chance to take significant ownership of production Machine Learning in a live system.

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

We’re looking for a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production ML systems with ownership from experimentation through to deployment. Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pip

Lead Machine Learning Engineer – Conversational AI Platform.

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

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

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

Led by Success Coach Nilesh (bestselling author and strategist with 23+ years of corporate expertise), we empower individuals across 15+ industries and 23+ nationalities through elite mentorship and hands-on learning. The program is designed to provide real UK industry exposure through structured le

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

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

Lead Machine Learning Engineer. 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. Design, train, and optimise machine lear

Design and develop machine learning models for traditional ML use cases.

Lead Machine Learning Engineer. 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. Design, train, and optimise machine lear

This role involves designing and delivering robust machine-learning systems from concept to live operation, develop shared approaches that speed up future delivery, work closely with multidisciplinary teams to address complex client needs, take ownership of technical definition and system design, es

Lead Machine Learning Engineer. 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. Design, train, and optimise machine lear

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 Pyt

Lead Machine Learning Engineer. 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. Design, train, and optimise machine lear

What You’ll Be Doing Lead the development and deployment of machine learning models used in a live SaaS product Own models end-to-end from experimentation through production deployment, monitoring, and iteration W

Lead Machine Learning Engineer. 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. Design, train, and optimise machine lear

Computer Science, Machine Learning, or a closely related discipline. Machine Learning Research Engineer - LLM post-training/mid-training.

Lead Machine Learning Engineer. 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. Design, train, and optimise machine lear

Intercom’s Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are very passionate about applying machine learning technology, and have productized everything from

Lead Machine Learning Engineer. 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. Design, train, and optimise machine lear

Domain Expertise: 2+ years in machine learning (in industry or academia) with published research papers and proven expertise in Imitation Learning, Reinforcement Learning or Representation Learning. As we continue to push the boundaries of technology, we are seeking a talented Machine Learning Engin

Lead Machine Learning Engineer. 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. Design, train, and optimise machine lear

We're looking for a Machine Learning Engineer to join the Consumer Gen AI Product MLE team at Snap!What you’ll do:* Develop ML-products and AI Lenses that serve millions of Snapchatters on a daily basis, with a primary focus on image and video generation and editing, as well as LLMs* Build cutting

Lead Machine Learning Engineer. 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. Design, train, and optimise machine lear

Key responsibilities include optimising model inference, evaluating ML hardware, and working alongside experts to leverage cutting-edge technologies in machine learning. A premier quantitative research firm in Greater London is seeking an exceptional Machine Learning Engineer to join their ML and HP

Lead Machine Learning Engineer. 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. Design, train, and optimise machine lear

Design and run experiments to improve our task-similarity algorithms, using a mix of classic and deep learning techniques. Annual learning & development budget - up to £500 / €600 / $650 per year.

Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Lead Machine Learning Engineer. The successful candidate will collaborate closely with data scientists, engineers, an

The SRG is a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission‑focused problems. BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Develop complex, novel data science solutions, contributing significantly to mac

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. Design, train, and optimise machine learning models focused on user pers

This is a hands‑on role at the intersection of machine learning, data engineering, and customer delivery. Strong foundations in supervised/unsupervised learning, optimization, and evaluation. Core Model Development: Implement, optimize, and deploy models for regression, classification, clustering,

Experience working with machine learning, ranking infrastructures, and system designs. We're looking for a Machine Learning Engineering Manager to join the Consumer Gen AI Product Engineering at Snap!. Lead an applied team of Machine Learning Engineers to build and enhance Snap’s consumer-facing G

Freelance Machine Learning Engineer (Python). If you join the platform as a Machine Learning expert, you'll have the opportunity to collaborate on these projects. You have at least 5 years of Machine Learning experience with proven business impact.

Strong knowledge of machine learning algorithms and model evaluation techniques. Design, build, train, and evaluate machine learning models.

Design and run experiments to improve our task-similarity algorithms using a mix of classic and deep learning techniques. Experience with deep learning methods and techniques. Proficiency in supervised and unsupervised learning techniques.

Job Title: Machine Learning Engineer (ML Consultant).

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The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Support the Head of Data Science & Machine Learning using your experience to con

We are looking for a highly capable machine learning engineer to optimize and enhance our machine learning systems. Design machine learning systems and self‑running AI software to automate predictive models. Document machine learning processes.

Work on real-time energy optimisation using Python + machine learning. We’re hiring a Machine Learning Engineer to join a fast-growing EnergyTech startup building the software to power a fully decarbonised energy system!. Fast, mission-driven team focused on learning and climate impact.

A global consultancy is looking for Machine Learning Consultants to join their analytics team in the United Kingdom. The role involves building advanced machine learning models to address real-world challenges and collaborating with clients to deliver impactful solutions.

You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices. Defining and implementing Faculty’s standards for deploying machine learning at scale. You understand the full machine learning

Machine Learning Engineering Manager. You’ll be working on a hugely impactful workstream, focused on the machine learning that underpins our Chat feature. Extensive experience building and deploying Machine Learning models to production.