176 to 200 of 211 Machine Learning Engineer Jobs in England

users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world. Staff Machine Learning Engineer London, King's Cross Top-of-market compensation The Role You'll take ownership of designing, building, and shipping production ...

Data Pipelines, Production Deployment Role Opportunity This is a long-term engagement with a leading Consultancy supplying into the Public Sector for an experienced Machine Learning Engineer with SC Clearance click apply for full job details ...

time-series or biosignals (PyTorch/JAX), model evaluation under noisy real-world data, and a bias toward deployable systems. Apply for Machine Learning Engineer, Neural Decoding — Manchester/Los Angeles #J-18808-Ljbffr ...

values collaboration, ownership, and a commitment to delivering high-quality results in a fast‐paced, dynamic environment. We have an exciting opportunity for a Machine Learning Engineer to join our growing technical team at Joybuy (https://www.joybuy.com/). Joybuy is JD.com’s European full ...

Technology Ltd is seeking an experienced embedded firmware/systems engineer with expertise in machine learning and machine vision. The role involves working directly with customers to translate requirements into deliverable embedded solutions, using Python, C and C++ with ML frameworks, and developing production-ready code. ...

surveys, trials and system deployment where required Working with experienced engineers on live projects Training You will study towards a Level 6 in AI Engineer Apprenticeship with QA. The AI Engineer programme gives you the skills to design, build, and deploy advanced AI systems - including generative … months in duration and is delivered via a virtual delivery model combining: Instructor led live workshops (28 days) Interactive labs and self-paced learning On completion of the programme, you will have the opportunity to achieve the Microsoft Certified: Azure AI Engineer Associate (AI -102) in addition ...

Cupertino, California, United States Machine Learning and AI Here at Apple new ideas have a way of becoming great products very quickly, and innovation never stops. Bring passion and dedication to your job and there's no telling what you could accomplish. The Music ML team at Apple … Media Products is responsible for personalisation and recommendation in Apple Music. We are looking for an experienced Software Engineer to help design and run our customer-facing recommendation services reliably, efficiently, and with dedication to delivering relevant and diverse music to our users. Music is our passion ...

other, about UiPath, and about our larger purpose. Could that be you? Your mission: Build the Engine, Not Just the Car We're the Machine Learning Services (MLS) team at UiPath—a small, sharp group of senior engineers building the core platform that powers UiPath's large‐scale … products. Our world is one of distributed systems, high‐throughput model serving, and complex asynchronous training workflows. We're looking for a systems‐level engineer who wants to work on the gnarly, foundational problems of a production ML platform. You'll support a system that handles a massive volume ...

raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. The role We're looking for a Senior ML Systems Engineer to join Encord's in-house ML team. This is a software-engineering-first role for someone with real machine learning deployment … operating ML systems or model-backed products in production at scale Strong software engineering and system design fundamentals Hands-on experience deploying modern deep learning models in production, with a strong understanding of model serving, inference optimisation, GPU utilisation and performance trade-offs. Experience designing and operating scalable, distributed ...

TensorFlow + Python) Overview We are seeking a highly experienced ML Systems Architect to design and implement a scalable, production-grade architecture for our machine learning solver. This role bridges research prototypes and commercial deployment, ensuring reliability, maintainability, and performance in a mixed technology stack. Responsibilities Architect ...

Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact. We’ve just reached … languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future ...

Slingshot AI, the team behind Ash, is seeking a Member of Technical Staff focused on Machine Learning to ship models, training infrastructure, harnesses, and evals end-to-end. You will join a small, world-class team in London or NYC offices, owning important parts of the product ...

from months to weeks. You’ll join a team building the infrastructure that makes these outcomes repeatable at scale. About the role The Applied Machine Learning team owns production systems and pursues new ideas, from conception and prototyping through to deployment, evaluation and iterative improvement. Working with clinicians … principles about statistics and evaluating ML systems. You're suspicious of benchmarks that don't match reality. Builder of agent systems You understand deep-learning, agent tools, context management and information retrieval, and how they interact. Shipper of software 3+ years shipping software to production. You own deployment, monitoring ...

technology that reaches patients directly and shapes how medicine is practised, this is where that work happens. The role As an ML Platform Engineer at Panakeia, you will sit at the critical junction of research, engineering and product delivery. You will be responsible for designing, implementing and maintaining … multi-omics platform architecture, building and validating data and machine learning pipelines. This role requires a blend of analytical thinking, architectural engineering capability, and the ability to communicate complex findings to both technical and executive stakeholders. Key Responsibilities Design, implement and evolve a multi-omics AI platform, incorporating ...

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responsibilities: Train behaviour-cloning and reinforcement-learning policies for locomotion and manipulation. Own the training pipeline on the sovereign GB10/GPU estate. Design reward, curriculum and domain randomisation schemes. Measure policy performance on hardware, not only on held-out data. Requirements: RL and imitation learning in practice ...

design discussions, raising considerations around scalability, reliability, and system interactions Culture and Innovation Contribute to a culture of engineering excellence, collaboration, and continuous learning Stay curious about emerging tools and approaches in MLOps and applied AI, and bring ideas for improvement to the team Support responsible AI practices, contributing ...

Our client is a global legal and business information company. Are you excited by the opportunity to shape the future of AI-powered intellectual property tools in a collaborative, flexible environment? Join a dynamic team ...

helping customers find relevant evidence, discover meaningful themes, and receive useful suggestions and shape their roadmap in Jira Product Discovery. As the first ML engineer on the team, you will establish the ML foundations of a new data product within the fast-growing Product Collection. You will have clear ...

Full Stack Engineer (ML Ops) Company: Starling Bank Location: London, UK (Hybrid – up to 2 remote days per week) Employment Type: Permanent Base Salary: £70K – £110K Role Overview Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology ...

Amazing opportunity for an experienced, end to end ML Engineer to play a key role for a well established data company who embarking on the next phase in their growth journey! A very grown up, collaborative and flexible environment offering fantastic career development opportunities Role Overview Drive ...

At Recycleye we are revolutionising recycling. Our ground-breaking AI-powered robots and optical sorters are making waste sorting faster, cleaner and more profitable. With our advanced tech, the previously unsortable can now be sorted ...

embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster … worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. ...

Open-source contributions to vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, KServe, or related projects. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like ...

You take models from notebook to production and keep them healthy. From classical ML to modern LLM fine-tunes, you know what to reach for, what to skip, and how to measure whether it's ...