1 to 25 of 334 Remote/Hybrid Machine Learning Jobs in the UK excluding London

processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline … customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical ...

Days Office) | Python | SQL | PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive Analytics Key Skills: Senior Data Scientist, Data Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical … hypothesis testing * Machine learning & predictive analytics * Propensity modelling * Time series forecasting * Python * SQL * PySpark * Microsoft Azure Cloud * Azure Databricks * Feature engineering * Production ML deployment * Version control & automated testing * Data integration & modelling * Stakeholder management * Agile delivery experience Desirable: * MLflow * PyTorch * Databricks Asset Bundles * Graph Databases * Azure Machine Learning ...

Machine Learning Engineer Location: Flexible (Hybrid) Working set up: Hybrid Salary: Competitive + bonus + benefits SPG are working on behalf of an established financial services organisation investing heavily in its data science and AI capabilities. As part of an expanding team, the business is delivering a range … learning models from research through to production. You'll work closely with Data Scientists, Data Engineers and Software Engineers to build robust, scalable ML solutions while helping define best practices, tooling and automation across the full machine learning lifecycle. This role is ideal for someone with ...

Months long The Company They are a data-driven consulting and analytics organisation that helps clients make smarter decisions through advanced measurement, machine learning, and AI solutions. Their teams work across data, analytics, engineering, and consulting disciplines to solve complex business challenges. They foster a collaborative environment where … advanced machine learning and AI solutions that drive measurable business outcomes. Develop, optimise, and deploy machine learning models and scalable ML pipelines. Build and maintain machine learning infrastructure, ensuring strong governance, version control, and model lifecycle management. Apply advanced statistical modelling and experimentation techniques ...

across the organisation.This is the highest individual contributor tier within the field — a role for engineers and scientists who not only build world-class ML systems but define how they are built. You will shape architectural direction, establish engineering and scientific standards, and drive the delivery of complex, high-impact … ML products that span the journey from research and experimentation through to solutions.A core differentiator of this role is deep applied machine learning science: the ability to develop, validate, and deploy novel ML algorithms and scientific models as reliable, maintainable products — bridging the gap between innovative research ...

want practical exposure to AI-driven business solutions. This expert-led programme will help you understand how organisations evaluate, test, and improve AI/ML systems through AI assurance, data quality analysis, model risk evaluation, and real-world case studies. What You'll Learn ✔ AI & Machine Learning Fundamentals … reliability perspective ✅ Design AI testing and assurance strategies ✅ Identify situations where AI recommendations can or cannot be trusted ✅ Complete a real-world AI/ML case study and create an interview-ready portfolio project Who Should Apply? Recent graduates in Computer Science, Data Science, AI, Machine Learning ...

want practical exposure to AI-driven business solutions. This expert-led programme will help you understand how organisations evaluate, test, and improve AI/ML systems through AI assurance, data quality analysis, model risk evaluation, and real-world case studies. What You'll Learn ✔ AI & Machine Learning Fundamentals … reliability perspective ✅ Design AI testing and assurance strategies ✅ Identify situations where AI recommendations can or cannot be trusted ✅ Complete a real-world AI/ML case study and create an interview-ready portfolio project Who Should Apply? Recent graduates in Computer Science, Data Science, AI, Machine Learning ...

agentic workflows that tie it all together. You will partner with computational chemists, CADD scientists, software engineers, and hardware engineers, and apply AI/ML to build the next generation of Chemify's platform. What sets this role apart is the combination of breadth of ML problems — generative chemistry, vision … search, agents — paired with a robotic platform that turns your models into physical experiments. If working across a wide range of hard ML problems on a real-world platform sounds like the right shape of job for you, we'd love to welcome you to our team. Key Responsibilities Build ...

Lead Data Engineer - Fully Remote (UK) - AWS - AI & Machine Learning - Up to £110,000 Are you a Senior Data Engineer looking for the opportunity to own a data function rather than simply contribute to one? We're working with a high-growth technology business that is scaling rapidly … investing heavily in its data, analytics and AI capabilities. The organisation develops cutting-edge products that combine data, machine learning and AI to help global enterprise clients make better decisions through intelligent, evidence-driven insights. This is an opportunity to join at a pivotal stage of growth, taking ...

fraud and financial crime are detected across a growing fintech business. You'll take ownership of detection strategies, transaction monitoring, rules engines and machine learning driven decisioning, helping to protect customers while ensuring the business remains compliant with UK regulations. If you have a strong background in financial … crime and fraud, combined with experience working alongside data science and machine learning teams, this could be the ideal next step in your career. The Role As Head of Detection & Decisioning, you'll be responsible for building and leading a specialist function focused on financial crime detection across ...

work has a direct impact on customer experience and the company’s bottom line by reducing fraud and scams in financial transactions. Our ML scientists work on problems spanning fraud detection and prevention, transaction monitoring for suspicious activity, customer risk assessment and operational tooling. What you’ll be working … Learning Scientist is a technical individual contributor (IC) leadership role. You will be expected to leverage deep experience in developing and deploying advanced ML models on a modern cloud-native data platform to: Automatically and accurately detect suspicious user behaviors while minimising impact to genuine customers and operational costs ...

evaluate statistical and machine learning models to solve real-world problems, testing feasibility and estimating impact before full deployment. Engineer and implement ML-based solutions, owning the full lifecycle – from model development and deployment to monitoring and iteration. Deploy models into production environments, handling the integration and operationalisation … ML within wider systems and applications. Continuously evaluate and monitor model performance, identifying degradation, performance gaps, or opportunities for optimisation. Collaborate closely with data analysts, engineers, and other stakeholders to define new tools, enhance workflows, and support innovation across teams. Communicate findings, recommendations, and model outcomes to both technical ...

good. Our work sits across the whole development lifecycle, from prototyping new machine learning models to building scalable and secure production ML systems, and everything in between. Our work spans disruptive startups, multi-national organisations, policing, and secure government sectors, providing you with the unique opportunity to make … passion for coding, machine learning, open source technologies, and setting the standards for their implementation and adoption. Strong experience building production-grade ML software in Python - this could include training and serving machine learning models, building large-scale inference services, or integrating . Experience deploying ML ...

Agent Engineer/Machine Learning Engineer SC Cleared | Remote | £465/day Inside IR35 | Initial 3-Month Contract We're working with a leading software company specialising in Enterprise AI and digital transformation. Their AI platform enables organisations to securely connect, discover and utilise enterprise data to power … driven search, intelligent automation and regulatory compliance. They are looking for an SC Cleared AI Agent and Machine Learning Engineer to join their team from August, supporting the delivery of an exciting Central Government programme helping to develop intelligent AI agents and machine learning capabilities that ...

days per week in the office initially | Up to £55,000 I am working with an innovative technology company that uses AI, machine learning and modern software engineering to build products that solve real-world transport challenges. They are looking for a Junior Software Developer with around … NoSQL databases, including PostgreSQL, SQL or MongoDB Practical commercial exposure to machine learning projects Experience contributing to the deployment of an ML solution as part of a team Experience with React, AWS, Django, Flask, FastAPI, REST APIs, Git or CI/CD would also be beneficial. ...

Fuzzy Labs is a fast-growing, Manchester-based tech consultancy that helps a diverse range of clients productionise machine learning using Open Source MLOps. We exist to help our customers harness and channel the power of AI safely and effectively, to make positive change … good. Our work sits across the whole development lifecycle, from prototyping new machine learning models to building scalable and secure production ML systems, and everything in between. Our work spans disruptive startups, multi-national organisations, policing, and secure government sectors, providing you with the unique opportunity to make ...

Lead AI Engineer - GCP/Machine Learning/AI Agents £85k - £90k + Up to 15% Bonus + Benefits - Permanent Remote UK - Flexible remote working model - Occasional travel to the South-East/South London region Must be Eligible to work in the UK - Cannot Provide Sponsorship … Strong Software Engineering background (Python preferred) Commercial AI/Machine Learning Engineering experience Hands-on Google Cloud Platform (GCP) experience Experience deploying ML/AI solutions into production environments Understanding of modern AI frameworks & LLM ecosystems Exposure to AI Agents, Agentic AI workflows and/or Google ...

This is an opportunity to join a fast-growing, product-led technology business that is investing heavily in Data, AI and Machine Learning. Working within a highly collaborative data function, you'll help build data-driven products and machine learning solutions that directly influence customer experience, product … product teams to maximise business impact. The Role • Build and develop recommendation and personalisation models • Develop AI-powered products and customer-facing features • Apply machine learning techniques to solve complex business problems • Support experimentation through modelling, statistical testing and evaluation • Conduct feature engineering and feature analysis to improve ...

Learning Engineer £700-750/day outside IR35 Remote working - once a month in Bristol 3-month initial contract MUST have experience of ML in Snowflake. Looking for a Machine Learning Engineer to lead a migration of ML capabilities from existing AWS Sagemaker to Snowflake ML - will … need to proof out can existing ML models work in Snowflake. This role will also drive optimisation of ML capabilities within Snowflake. Machine Learning Engineer, key skills: Strong hands-on experience with Snowflake ML Python expertise - Scikit-Learn, TensorFlow, Pytorch etc Strong understanding of model deployment MLOps - experienced ...

self‐starter mindset; you proactively identify the most impactful issues and opportunities and collaboratively tackle them without being told to do so. Using advanced ML techniques to ensure Monzo’s customers money stays safe, even if their card, phone or account is compromised, sounds exciting to you. You have extensive … used in many of our backend microservices. You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact. You thrive working on ambiguous problems and have a track record of helping your team and stakeholders resolve that ...

data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: AI/ML Researcher Location: Great Baddow (Hybrid 2/3 days onsite) Who we are Join BAE Systems and you’ll be part of something bigger. … applications of LLMs, Agentic AI, Robotics, Autonomy, computer vision, AI for RF and EW, sonar and acoustics. We are looking for an AI/ML researcher to join the Knowledge and Semantics team within our Data and Decision Support Capability You will have the opportunity to work with colleagues across ...

week) Salary: £70,000-£80,000 + Bonus We're working with a leading global technology consultancy that is investing heavily in Artificial Intelligence, Machine Learning and Advanced Analytics. They are looking for an AI Engineer to design, develop and deploy cutting-edge AI solutions that help transform … Engineer, you'll take ownership of designing and delivering AI-powered solutions from concept through to production. You'll work across machine learning, data engineering and software development to create scalable AI applications that improve reporting, forecasting and business intelligence. You'll be involved in the full ...

you. Job Description: As a Solution Architect (Artificial Intelligence), you will play a key role in shaping the design and delivery of AI and machine learning capabilities across the Air Sector. Working closely with technical and business stakeholders, you will define solution architectures that enable scalable, secure … programmes, ensuring solutions align with business objectives, technical standards and emerging AI best practices. Core duties: Lead the design and governance of AI and machine learning solution architectures, ensuring solutions are secure, scalable and cost-effective Architect end-to-end machine learning platforms and pipelines, embedding ...

Learning Scientists, Data Scientists, Backend Engineers, Operations specialists, Product managers, and Risk managers. You will leverage your experience in developing and deploying advanced ML models for: Automatically and accurately detecting suspicious user behaviours while minimising impact to genuine customers and operational costs. Adapting quickly to changing fraud and financial … crime trends, ensuring detection systems remain performant over time. Designing ML solutions that scale globally. You should apply if: What we’re doing here excites you: You have a track record of deploying advanced ML models tackling real business problems with demonstrable impact, preferably in a fast‐moving tech company. ...

large self-supervised ones, supportingSpeechmaticstowards being the mostaccuratespeech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. This is a hands-on, technical leadership role with high ownership. … will develop and deploy advanced speech systems that power our products as well as co-define the technical vision for ML, drive innovation, and mentor engineering teams. Your work will span the entire codebase. What You’ll Do Develop and deploy ML models, translating research into scalable, maintainable code ...