76 to 100 of 126 Machine Learning Engineer Jobs in England

for our recommender systems and search algorithms,building the core infrastructure that powers millions of meaningful connections. Working in theSearch & Match domain, you willbe focusing on deploying and scaling machine learning models, particularly large language models (LLMs). You will collaborate with data scientists to make sure our models are efficient and can be properly optimized for cost … and performance. You will work with software engineers to set up modern machine learning pipelines ensuring high operational standards. If youd like to make a difference by maintaining cutting-edge, scalable machine learning infrastructure that brings the right people to the right jobs, then wed love to hear from you! You will play a vital role … and services to support real-time ML applications Maintain and improve recommender systems Build and work with modern API and microservices architectures Qualifications Strong foundation in Python Experience with machine learning, familiar with Huggingface, Pytorch, and similar ML tools and packages Familiarity with deploying and scaling ML models in the cloud, particularly with AWS and SageMaker Understanding of More ❯

London | Hybrid/Remote | £70,000 - £90,000 + stock options + Benefits Company Overview We’re a fast-growing FinTech building fairer and smarter lending solutions. Using advanced machine learning and rich financial data, we create credit products that improve outcomes for individuals and small businesses. Our mission is to make lending transparent, responsible, and accessible—and … us means you’ll be part of a collaborative, hands-on team where your work directly contributes to how we assess and manage risk. The Role As a Senior Machine Learning Engineer, you’ll take technical ownership of our credit risk model suite — iterating, optimising, and deploying production-ready ML systems that drive real-world impact. You … of credit risk and behavioural models using Python and frameworks such as XGBoost and scikit-learn. Responsible for creating proprietary data enrichment algorithms. Guide the evolution toward a self-learning model framework, improving automation and adaptability over time. Design and oversee feature testing and evaluation to enhance predictive performance and interpretability. Use BigQuery and GCP tools (including CloudRun) to More ❯

London | Hybrid/Remote | £70,000 - £90,000 + stock options + Benefits Company Overview We’re a fast-growing FinTech building fairer and smarter lending solutions. Using advanced machine learning and rich financial data, we create credit products that improve outcomes for individuals and small businesses. Our mission is to make lending transparent, responsible, and accessible—and … us means you’ll be part of a collaborative, hands-on team where your work directly contributes to how we assess and manage risk. The Role As a Senior Machine Learning Engineer, you’ll take technical ownership of our credit risk model suite — iterating, optimising, and deploying production-ready ML systems that drive real-world impact. You … of credit risk and behavioural models using Python and frameworks such as XGBoost and scikit-learn. Responsible for creating proprietary data enrichment algorithms. Guide the evolution toward a self-learning model framework, improving automation and adaptability over time. Design and oversee feature testing and evaluation to enhance predictive performance and interpretability. Use BigQuery and GCP tools (including CloudRun) to More ❯

team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Role Overview: We are looking for an independent, dedicated Senior or Staff Machine Learning Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. VCG's … mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency. What you'll be doing: Develop and improve core generative models for graphics and video processing for a variety of applications, such as … the team in core R&D work with other teams within Sony Interactive Entertainment What we're looking for: PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post Strong background in: TensorFlow or PyTorch; Python More ❯

Machine Learning Engineer (Up to £180K) – Top VC-Backed Stealth Startup London (Hybrid working) Are you ready to drive the next big leap in AI? We’re working with a stealth-mode startup—backed by top venture capitalists—on a mission to make AI more accessible than ever. Their groundbreaking solutions are redefining how industries leverage intelligent … cross-functionally in a fast-paced environment where your ideas can shape the future of AI. What We’re Looking For Seasoned ML Expertise: 3+ years of hands-on machine learning experience, with a track record of executing end-to-end ML projects. Deep Tech Know-How: Strong background in ML, Deep Learning, LLMs, and frameworks like More ❯

Role: Machine Learning Engineer London: Central London - hybrid working Salary: £125,000 + bonus + benefits Industry: Technology Scale Up, circa 300 people The role: You will lead the design & development of robust Machine Learning models to solve complex problems. You will work alongside MLOps to help build the ML infrastructure for these models to … these efficiently. You will continuously collaborate across internal stakeholders to ensure the models being built are improving customer experience, and business efficiency. What we're looking for: Experienced ML Engineer, working across LLM, Computer Vision, NLP, Deep Learning Experience with deploying ML models into production An understanding of emerging technologies - such as Retrieval-Augmented Generation (RAG) and Knowledge More ❯

Role: Machine Learning Engineer London: Central London - hybrid working Salary: £125,000 + bonus + benefits Industry: Technology Scale Up, circa 300 people The role: You will lead the design & development of robust Machine Learning models to solve complex problems. You will work alongside MLOps to help build the ML infrastructure for these models to … these efficiently. You will continuously collaborate across internal stakeholders to ensure the models being built are improving customer experience, and business efficiency. What we're looking for: Experienced ML Engineer, working across LLM, Computer Vision, NLP, Deep Learning Experience with deploying ML models into production An understanding of emerging technologies - such as Retrieval-Augmented Generation (RAG) and Knowledge More ❯

Machine Learning Research Engineer About Us We’re Unitary , a fast-growing AI startup building Virtual Agents that combine deterministic code, LLM reasoning, and human expertise to automate complex operational workflows. Our technology powers trust & safety systems at scale , analysing millions of images and videos daily for enterprise customers. Backed by Creandum and Plural , with over $25M … raised , we’re scaling rapidly and shaping a future where AI can make safe, fair, and reliable decisions online. The Role We’re looking for a Machine Learning Research Engineer to pioneer how Virtual Agents are built, deployed, and scaled. You’ll design an “ Agent Factory ” — a system that can automatically generate agents from captured workflows, combining … scaling ML systems in production. Why Unitary Remote-first across Europe/North America Competitive salary + equity Flexible hours and generous parental/sick leave Annual budgets for learning and wellbeing 3 annual team off-sites in London or Europe Join us to push the frontier of agentic automation — where AI learns to build and operate systems that More ❯

Machine Learning Research Engineer About Us We’re Unitary , a fast-growing AI startup building Virtual Agents that combine deterministic code, LLM reasoning, and human expertise to automate complex operational workflows. Our technology powers trust & safety systems at scale , analysing millions of images and videos daily for enterprise customers. Backed by Creandum and Plural , with over $25M … raised , we’re scaling rapidly and shaping a future where AI can make safe, fair, and reliable decisions online. The Role We’re looking for a Machine Learning Research Engineer to pioneer how Virtual Agents are built, deployed, and scaled. You’ll design an “ Agent Factory ” — a system that can automatically generate agents from captured workflows, combining … scaling ML systems in production. Why Unitary Remote-first across Europe/North America Competitive salary + equity Flexible hours and generous parental/sick leave Annual budgets for learning and wellbeing 3 annual team off-sites in London or Europe Join us to push the frontier of agentic automation — where AI learns to build and operate systems that More ❯

work, and everyday life. They are looking to develop an in-house voice generation and audio delivery system to enhance accessibility and emotional engagement and searching for the ML Engineer to work remotely that's going to make it happen! Senior Machine Learning Engineer - Speech/Voice AI (remote)Contract length: 3-monthIR-35 determination: OutsideLocation … life. They offer businesses a personal productivity app featuring tools for task breakdown, priority-setting, and structured support to manage anxiety, procrastination, and executive dysfunction. The platform combines tailored learning resources, assistive technology guidance, and mental health content in one accessible space. It serves both students and professionals, helping them build resilience, independence, and sustainable wellbeing through behaviour-change … for real-time playback and consistency across devices.- Create an inclusive, emotionally intelligent audio experience that deepens user connection and supports lasting behavioural wellbeing. Required skills:- Strong background in Machine Learning/Deep Learning with hands-on experience in speech or audio processing.- Experience fine-tuning or deploying modern TTS models (e.g. VITS, Bark, or FastSpeech2). More ❯

Senior ML Engineer - GenAI specialist position (based in Dubai, UAE - relocation support provided) Please note: This is an on-site position based in Dubai, United Arab Emirates. We are actively seeking talented Data Scientists who are interested in relocating. We provide the following support: Full visa sponsorship Airline tickets Hotel stay (for up to 30 days) Health insurance Company … AI strategy. Develop Advanced RAG Systems: Design, build, and optimize robust RAG pipelines to ground LLMs in external knowledge sources, ensuring factual accuracy and relevance. Build AI Agentic Workflows: Engineer and deploy collaborative multi-agent systems using frameworks like AutoGen or CrewAI to automate complex tasks and decision-making processes. Master Embedding Strategies: Create and manage high-quality vector … Graphs: Utilize LangChain or LangGraph to develop, prototype, and productionize complex, stateful applications and workflows powered by LLMs. Model Integration & Deployment: Fine-tune, evaluate, and deploy LLMs and other machine learning models into production environments using MLOps best practices. What did we order? Experience with cloud platforms (AWS, GCP, or Azure). Bachelor's or Master's degree More ❯

Machine Learning Engineer (LLM) Transform Language Models into Real-World Applications We're building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world. This role is a global role … only intelligent, but also safe, trustworthy, and impactful at scale. What You'll Do Fine-tune & adapt - Use LoRA/QLoRA to optimize open-source models (LLaMA, Mistral, Gemma) Engineer prompts & curates data - Craft prompts and datasets that reflect tone, brand voice, and safety. Evaluate models - Build metrics pipelines for perplexity, toxicity, and relevance to ensure safe and high … failure as part of growth - you're here to level up. Possess humility, hunger, and hustle, and lift others up as you go. Requirements Strong experience in transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation). Proficiency with PyTorch (preferred) or TensorFlow. Skilled in prompt engineering and dataset curation for alignment with tone, safety, and More ❯

ML pipelines for time-series forecasting. Central London office based £90-120k+ highly negotiable Discretionary bonus 50-100% of salary An opportunity for an elite Machine Learning Engineer to join a very small, top-flight AI team (2-6 people within a larger international group) with arguably the leading macro hedge fund. The bonus potential is … design, implementation, and maintenance of ML pipelines for forecasting. You will prize taking ownership of the work, devising your own plans, impacting directly on the forecast. Responsibilities: Build scalable machine learning pipelines for predominantly time-series forecasting Collaborate with data scientists and researchers to productionise models Manage cloud-based and on-prem setup Requirements: 25 years experience in More ❯

Job Description We want to expand our Data Science function further within our well-established strong data-driven Centralised Analytical department. 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. … We are looking for an experienced Machine Learning Engineer to support the delivery of ML products. You will work closely with the Data Science team, to understand the data and product requirements. You will also collaborate the Data & Ops team, to stay on top of key changes that may impact the ML frameworks and to own the … experience working with Data Scientists to deliver best in-class solutions for model deployment and monitoring Great technical and communication skills, with a high degree of proactivity Passion for learning and keeping abreast of new technologies and data models Additional Information Join us to unlock benefits and opportunities that will boost your career journey in a vibrant, inclusive and More ❯

of policies so far, and raised over $200 million in funding. And we're only just getting started. Who we're looking for We are looking for a Lead Machine Learning Engineer to play a key role in our Core Pricing team. You will drive innovation by optimising and automating Pricing processes to enable faster, more accurate … Model lifecycle: You've got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical Methodology: You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science More ❯

An AI-driven start-up, backed by $20M in Series A funding, is looking for its first Machine Learning Engineer to help scale their product and infrastructure. The platform transforms educational content into smart, personalised learning tools - and is already seeing rapid user growth and strong traction in the market. This is a unique opportunity to … features across a production platform Working across Python and TypeScript , integrating models into scalable, real-time systems Fine-tuning and training NLP models using techniques like transformers Driving the machine learning strategy and building best practices from the ground up Collaborating closely with product, engineering, and leadership What we’re looking for: Strong commercial experience building and deploying More ❯

An AI-driven start-up, backed by $20M in Series A funding, is looking for its first Machine Learning Engineer to help scale their product and infrastructure. The platform transforms educational content into smart, personalised learning tools - and is already seeing rapid user growth and strong traction in the market. This is a unique opportunity to … features across a production platform Working across Python and TypeScript , integrating models into scalable, real-time systems Fine-tuning and training NLP models using techniques like transformers Driving the machine learning strategy and building best practices from the ground up Collaborating closely with product, engineering, and leadership What we’re looking for: Strong commercial experience building and deploying More ❯

are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver and builder who is passionate about creating practical solutions that enable customers to make better engineering decisions. You … often side-by-side with them on-site) to build, deploy and maintain production-grade ML tools that are useful, and used. You design, build, and test reliable, scalable machine learning pipelines, and you know when to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling. You create analytics environments and resources in … for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to More ❯

Machine Learning Engineer UK – travel to Cambridge £80,000-£85,000 We're working with an early-stage, deep tech start-up led by PhD-level founders with a strong background in audio-focused machine learning. Backed by solid technical vision and real-world applications, they’re developing ground-breaking software that transforms earbuds into health More ❯

Machine Learning Engineer 18 month project, 6 month rolling contracts. Rate negotiable but upwards of 600 p/d. Looking for people with the following skillset: Python, Pytorch, Tensorflow, Langgraph, Langchain, CrewAI, LlamaIndex etc ML Ops VertexAI Prompt Engineering Apply through this advert or email jack.herbert@oliverbernard.com for more info. More ❯

Machine Learning Engineer 18 month project, 6 month rolling contracts. Rate negotiable but upwards of 600 p/d. Looking for people with the following skillset: Python, Pytorch, Tensorflow, Langgraph, Langchain, CrewAI, LlamaIndex etc ML Ops VertexAI Prompt Engineering Apply through this advert or email jack.herbert@oliverbernard.com for more info. More ❯

Machine Learning Engineer Up to £530 P/D Outside IR35 Immediate start Requirements: 4+ years of experience in end-to-end ML deployments, including GenAI models, into scaled production systems. Experience in building RESTful APIs, GraphQL APIs that allow GenAI systems to integrate with both back and front end systems (e.g. UI, order systems, data stores More ❯

Machine Learning Engineer Up to £530 P/D Outside IR35 Immediate start Requirements: 4+ years of experience in end-to-end ML deployments, including GenAI models, into scaled production systems. Experience in building RESTful APIs, GraphQL APIs that allow GenAI systems to integrate with both back and front end systems (e.g. UI, order systems, data stores More ❯

Senior Machine Learning/AI Engineer Position Overview: We are seeking a Senior Machine Learning/AI Engineer with expertise in Databricks, MLOps/LLMOps, and cloud-native architecture . The candidate must have recent experience implementing data science solutions in Databricks and be comfortable deploying web applications via containerized workflows (Docker, Kubernetes). … This role involves building scalable AI/ML systems, deploying LLMs, and operationalizing models in production. Key Responsibilities: Design, develop, and deploy ML, Deep Learning, and LLM solutions. Implement scalable ML and data pipelines in Databricks (PySpark, Delta Lake, MLflow). Build automated MLOps pipelines with model tracking, CI/CD, and registry. Deploy and operationalize LLMs , including fine More ❯

Senior Machine Learning/AI Engineer Position Overview: We are seeking a Senior Machine Learning/AI Engineer with expertise in Databricks, MLOps/LLMOps, and cloud-native architecture . The candidate must have recent experience implementing data science solutions in Databricks and be comfortable deploying web applications via containerized workflows (Docker, Kubernetes). … This role involves building scalable AI/ML systems, deploying LLMs, and operationalizing models in production. Key Responsibilities: Design, develop, and deploy ML, Deep Learning, and LLM solutions. Implement scalable ML and data pipelines in Databricks (PySpark, Delta Lake, MLflow). Build automated MLOps pipelines with model tracking, CI/CD, and registry. Deploy and operationalize LLMs , including fine More ❯