Machine learning engineer jobs in Leeds - Page 3Crear alertas

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

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. Work alongside data engin

Machine Learning Senior Staff Engineer. Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). In this role, you’ll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mento

Machine Learning Engineer - Contract (Financial Services, Outside IR35). Design, build, and deploy machine learning models into production within a Financial Services environment. Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams.

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.

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. 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

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. Masters or advanced degree in artificial intelligence, machine learning, natural language processing,

Machine Learning/AI Engineer, Fully Remote, £80,000 - £110,000 per annum. Experience in writing production-ready Python code, with a strong technical foundation grounded in engineering best practices. My client, a leading AI solutions company are currently looking to strengthen their team and brin

Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles.

We are looking for an excellent ML Ops Engineer to join our research and development team.

Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects. Driving the development of shared resources and libraries across the organisation and guiding other engineers in contributing to them. You can successfully manage and coa

We are looking for an excellent ML Ops Engineer to join our research and development team.

Machine Learning Engineer – Video AI Applied Research Engineer. Get notified about new Machine Learning Engineer jobs in. We emphasize research rigor, empirical validation, and practical impact, translating novel ideas into deployable machine learning solutions under real‑world constraints.

Get notified about new Machine Learning Engineer jobs in. Design, train, and optimize machine learning models for predictive analytics, NLP, computer vision, or recommendation systems. Solid understanding of supervised/unsupervised learning, deep learning, and model evaluation techniques.

Machine Learning Engineer (Senior) | £700 p/d | Outside IR35. Sign in to set job alerts for “Machine Learning Engineer” roles. Oliver Bernard have partnered with a software engineering partner that collaborated with start-ups to build and scale digital products from pitch, to launch, and beyond

Familiarity with machine learning concepts. Joining a cross‑functional product squad that includes backend engineers, data analysts, frontend engineers, user researchers, designers, UX writers, and others to develop features that improve our users’ financial health. Building ML models to solve c

Machine Learning Engineer, AI Decisioning. As an early machine learning engineer, you will help build comprehensive solutions to the above domains from scratch. A lot of this work today is done manually through intuition and guesswork, and we believe that adding machine learning could have a step fu

Machine Learning Engineer – AI Data Trainer at Alignerr. Background in Machine Learning, Computer Science, or a related technical field. Engineering and Information Technology.

You hold a PhD (or equivalent experience) in machine learning, computational biology, or structural biology, with a proven track record of applying machine learning to real-world protein structure or drug discovery challenges. Principal Machine Learning Engineer, Structural Biology | Pharma/BioTech

Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications. Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures. Transition validated experiments into production-read

Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Machine Learning Operations Engineer. Our financial services client based in London is looking to recruit a Machine Learning Operations Engineer ASAP.

Join to apply for the Lead AI & Machine Learning Engineer role at Lloyds Banking Group. Lead AI & Machine Learning Engineer. We're looking for a strategic and technically skilled Lead AI & Machine Learning Engineer to join our Homes Platform AI Team.

Machine Learning Engineer | Python | Pytorch | Natural Language Processing | LLM | Large Language Models | Remote, Europe. Strong knowledge of machine learning, deep learning (including LLMs), and natural language processing. A Master's or PhD in Computer Science, Machine Learning, Mathematics, Stat

Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Design, train, and opt

Machine Learning Engineering Manager – you will lead the productionisation of advanced AI solutions developed by our Group AI team and help shape the customer and colleague experience across one of Europe’s largest retail groups. Deep understanding of classical ML and modern deep‑learning meth

Ensuring the quality and accessibility of data used for machine‑learning projects is appropriate, collaborating with data engineers as necessary. As an engineering expert in AI/ML you’ll be expected to develop, test and validate applications using machine learning models, demonstrating how they

Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects. Driving the development of shared resources and libraries across the organisation and guiding other engineers in contributing to them. You can successfully manage and coa

Career Opportunities: Graduate AI and Machine Learning Engineer (10980). Graduate AI and Machine Learning Engineer. As a Graduate AI and ML Engineer, you’ll support the design and build and operational maintenance of applied AI and data engineering solutions that make a real impact across the agen

Olive Jar Digital is seeking a Machine Learning Engineer to help design, build, and refine AI prototypes across multiple Discovery and Alpha initiatives. You will work at the intersection of engineering and data science—transforming experimental models into high‑quality, scalable prototypes, sha

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

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

Our Data Science mission is to build machine learning models in the production environment relative to Marketing, Customer Insights, and Safer Gambling and establish a strong culture of data-driven decision-making in our organisation's strategy. Skilful in writing well-engineered code using Spark, a

Lead Machine Learning Engineer – Data Science Team. We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science team. Develop a highly proficient team of Machine Learning Engin

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.

Get notified about new Machine Learning Engineer jobs in. 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. Building Data Science and Machine Learning

Machine Learning Solutions Engineer.

Strong experience as a backend software engineer, machine learning engineer, or applied data scientist. Crossing Hurdles is a recruitment firm connecting experienced backend engineers with leading AI research labs to advance intelligent systems through coding benchmark development. Degree in Softwar

Solid understanding of machine learning fundamentals, including supervised/unsupervised learning, reinforcement learning, deep learning, and statistical modeling. Blue Prism is seeking a talented Machine Learning Research Engineer to join our innovative R&D team. Design, develop, and implement robus

A recruitment agency is seeking a Machine Learning Engineer in London to design and deploy scalable ML solutions. This role involves developing models, building data pipelines, and working collaboratively with engineers and product managers.

A technology company is seeking a Machine Learning Engineer to design, train, and deploy ML models to solve real business problems. You will build features in Python, own MLOps pipelines, and collaborate with data engineers.

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

Principal Machine Learning Engineer. This role offers the opportunity to define architectural strategy, lead transformative initiatives, and work at scale on platforms infused with machine learning and semantic intelligence to unlock deep insights from complex data. Provide technical leadership and

Experience in both data engineering and machine learning, with a strong portfolio of relevant projects. Develop, maintain, and optimize scalable data pipelines & machine learning models based on key metrics for scalability, reliability, and real‑world impact. Understanding of ethical consideration

Machine Learning Engineer (Applied ML). We’re looking for a Machine Learning Engineer who thrives at the intersection of applied research and building real world products. Bachelor’s degree in Computer Science, Machine Learning, or a related field.

Work with engineering and operations teams to build machine learning models, monitor and evaluate their health and effectiveness in production. Design, develop, and implement machine learning models to predict competitive bidding landscape, conversion rate, ad relevance to users, etc. Use strong com

Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Demonstrated expertise in the full lifecycle of mac

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. Fluency with AI/LLMs: LangChain, vector stores, prompt engineering. Flaky tests kill trust, stall releases, and bleed engineering