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A machine learning mage: You write clean, scalable, high-performance deep learning code. Build insane AI models that understand the physics of manufacturing processes (think futuristic stuff like machines that watch and correct themselves on the fly or even learn how to use brand-new, never-seen-bef

Junior Data Scientist: Machine Learning & Python Specialist with SQL🐍.

Experience in commercial machine learning research and development. Experience working with data, training and evaluating machine learning models. Previously registered audio machine learning patents.

If you’re looking for a role where you can take responsibility, build from first principles, and apply machine learning to genuinely complex scientific problems, this could be your next move. We’re working with an early-stage deep tech company developing a next-generation analytical platform at

As a Machine Learning Engineer (NLP), you will work with our small but growing team and play an active role in building our Machine Learning/NLP capability. As Machine Learning Engineer (NLP), you will be responsible for:. Machine Learning Engineer (NLP).

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

Good experience in Machine Learning, AI, Data Science, Engineering and SaaS – ideally 3-4 years. In role, you will head up the Data Science/Machine Learning team and drive the implementation of AI into all practices across the company, including their core SaaS products which are used by many weal

Industry experience as an AI / Machine Learning Engineer (this could include LLMs, NLP, applied ML, GenAI or related specialisms). AI / Machine Learning Engineering Trainer. We’re recruiting an AI / Machine Learning Engineering Trainer to join a rapidly growing AI Education team within a global Te

Senior Machine Learning Engineer. Apply reinforcement learning approaches including SFT, DPO, PPO and GRPO. Strong hands on reinforcement learning experience.

Machine Learning Engineer (Python AWS MLOps) Remote UK to £90kAre you a tech savvy Machine Learning Engineer with experience of implementing ML algorithms into production?You could be progressing your career in a senior, hands-on role as part of a friendly and supportive international team at a gro

Job title: Senior Machine Learning Research Engineer Salary: £64,490 - £86,255Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: PermanentHours: Full Time (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessme

Machine Learning Developer (Contract)Based - WarwickRate: £500-£600 per dayI am working with Siemens Energy to find an experienced Machine Learning Developer to join their team in Warwick.

Setting and delivering a consistent, scalable approach to machine learning across the organisation is one of the key success criteria for this role. Developing trading indicators and strategies powered by machine learning. A strong understanding through the usage of machine learning frameworks (Tens

Lead, mentor, and grow a high-performing team of data scientists focused on algorithm development, machine learning, experimentation and advanced analytics. Drive innovation by staying current with emerging research, technologies, and industry best practices in algorithms, optimisation, and applied

Work within the development team to extend and expand upon the extensive statistical, time series and machine learning capabilities of our data analytics portfolio. Familiarity with statistical, econometric time series, machine learning or other mathematical algorithms and their uses.

We’re looking for a Machine Learning Specialist/Programmer who can translate research into real-world impact. In this role, you will help shape how machine learning is applied across the Studio, ensuring solutions are robust, usable and widely adopted. Degree or equivalent experience in computer s

Understand requirements from various stakeholders across the business, designing machine learning solutions to solve business problems. Solid understanding of machine learning concepts, familiarity working with common frameworks such as Transformers, PyTorch or TensorFlow. As a Machine Learning Scie

As a Machine Learning Engineer at Headout, you will play a pivotal role in developing AI-powered solutions that enhance our platform and create exceptional experiences for travelers worldwide. Work on a variety of machine learning projects spanning different domains. As machine learning and AI techn

You will join us as our Head of Machine Learning, and report to our CTO. You’ll manage a Chapter of 9 Machine Learning Engineers, including 3 Team Leaders. Lead and nurture a growing team of machine learning engineers, supporting their career development through coaching and mentorship.

Machine Learning Research Engineer (Foundational Research). Hands‑on experience implementing and scaling supervised fine‑tuning, preference learning, and reinforcement learning pipelines for LLMs. Experience with data‑centric ML approaches, including synthetic data generation, curriculum learn

Strong understanding of classical Machine Learning and modern Deep Learning methods. Act as a visible advocate for the use of Machine Learning within Kingfisher and promote its value across the group. Machine Learning Engineer Manager.

Machine Learning Research Engineer. Machine Learning Research Engineer. Annual budgets for learning and wellbeing.

Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working. Proven experience delivering high-quality AI-based products and productionisation of Machine Learning based products. Proven experience developing cloud-based machine learning services using o

The Machine Learning Engineer role sits within Customer Success; is embedded within the Technical Operations team – a technical group of Data Engineers and ML Engineers responsible for optimising and maintaining advanced machine learning and AI components across Xantura’s projects. Machine Learn

We're looking for a Machine Learning Engineer to shape and scale their pricing technology.

Ray, Spark, Dask)* Excellent communication skills to collaborate with researchers and translate research ideas into robust implementations* Self-driven attitude with genuine curiosity about ML research developments* Comfortable working in fast-paced, agile environments, managing the uncertainty and

Machine Learning Engineer for a 12-24 month contract. Design, optimise and operate robust end‑to‑end machine learning pipelines within the Databricks environment on Azure. Implement governance and observability, integrating compliance, monitoring and audit features across the full machine learni

We are seeking a Machine Learning Engineer to work on two key areas within our marketing analytics team. Foundational knowledge in machine learning principles and statistical methods. Machine Learning Engineer II, Marketing Testing.

Driving the machine learning strategy and building best practices from the ground up. The platform transforms educational content into smart, personalised learning tools - and is already seeing rapid user growth and strong traction in the market.

Collaborate with Waymo Machine Learning teams in London and Oxford to and the Google DeepMind team in London to use large models to improve simulation realism. Strong background and experience in applied Deep Learning.

Senior Machine Learning Engineer. As a Senior Machine Learning Engineer, you’ll lead the development and deployment of cutting‑edge AI systems for our diverse clients. Defining and implementing best practices and standards for deploying machine learning at scale across the business.

Master’s degree in computer science, machine learning, electrical engineering, robotics, statistics, mathematics, or a related field. Senior Machine Learning Engineer. Senior Machine Learning Engineer.

A leading FinTech company in Central London is seeking a Head of Machine Learning to lead their Data Science team. Candidates should have 3-4 years of experience in Machine Learning, AI, and a strong technical background in Python and Azure.

A leading global quantitative fund is hiring a Machine Learning Engineer to scale how machine learning models are built, shipped, and supported across research and trading. Roll out automation and CI/CD workflows tailored to machine learning delivery. Maintain internal training codebases and documen

Background includes machine learning and AI implementation. We are looking for an excellent machine learning engineer who understands and has experience in this field and current Generative AI trends. Solid understanding of machine learning principles.

You’ll combine mastery of modern machine learning with strong scientific intuition and exceptional engineering skills to develop AI systems that meaningfully accelerate drug discovery. PhD (or equivalent) with significant academic or industry research experience in a related technical field involv

Direct message the job poster from microTECH Global LTD.Location - London / Hybrid (3 days onsite, 2 days remote).MicroTECH Global is seeking unique individuals for a distinctive technology.Are you a Research Engineering Manager passionate about technology and leading cutting-edge research that shap

Proven track record in applying machine learning / deep learning techniques for time-series, physiological signals or continuous sensor data. Role: As a Senior ML Engineer / Senior Data Scientist at CoMind, you will join a multidisciplinary team working at the intersection of neurophysiology, optics

This role will join an existing, high performing team of Machine Learning experts and be responsible for the productionisation of Machine Learning Models within Pricing. Strong Machine Learning experience (not Data Science). Senior Machine Learning Operations Engineer.

Your title will be Lead Machine Learning Engineer.

Our client is seeking aMachine Learning Engineer to support the development, deployment, and operational management of machine learning models within a growing data and analytics function. The successful candidate will combine strong software engineering skills with an understanding of machine learn

Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX). Have industry experience in machine learning research. Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems.

Work with cross‑functional teams to deploy machine learning models in production environments, solving issues and ensuring scalability and performance. Stay current with the latest machine learning and artificial intelligence research, attending top‑tier conferences and communicating information

London, England, United Kingdom Machine Learning and AI. Senior Software/Machine Learning Engineer - Apple Music. Our work includes data analysis, large‑scale offline pipelines, machine‑learned model training and inference, and online services to provide real‑time personalised experiences.

As Machine Learning Engineer, you will be advancing the state of the art in machine learning using novel computing hardware. Combining your knowledge of ML algorithms with computing hardware, applied use-cases and trends in machine learning, you will extend ORCA’s competitive capabilities with our

We are seeking an exceptional Lead Software Engineer with deep expertise in machine learning infrastructure, computer vision engineering, cloud‑native architecture, and the Nvidia Enterprise ecosystem.

A leading gaming company in London is seeking a Machine Learning Engineer to advance techniques in imitation learning and game technology. The ideal candidate will have a Master's or PhD in a related field, with at least 2 years of experience in machine learning and publications in the area.

Applying deep learning, machine learning, analytical techniques, data processing, clustering, regression, and classification to create ML models that will help business collaborators understand unstructured data and semi-structured data within the organisation. You'll support all stages of a project