1 to 25 of 72 Remote/Hybrid Machine Learning Jobs in the North of England

+ Excellent Benefits Job Type: Permanent, Full Time We're looking for a Senior Data Scientist to join a high-growth technology business where machine learning plays a critical role in driving commercial performance. This is an opportunity to work on complex optimisation challenges at scale, developing models … that directly influence pricing decisions, customer outcomes and revenue generation. You'll be joining a collaborative team of data scientists and engineers, working across machine learning, optimisation and next-generation AI applications. The Role As a Senior Data Scientist, you'll take ownership of developing and improving production ...

looking for a Junior DevOps/MLOps Engineer to help build, automate and maintain the infrastructure and pipelines that deliver software and machine learning models into production. Working alongside software and AI engineers, you will support reliable deployments, improve automation and help ensure production systems operate effectively … demand grows. This role would suit an early-career engineer with a foundation in cloud computing, scripting or software development and an interest in machine learning infrastructure. Key Responsibilities Support the configuration and maintenance of AWS infrastructure for software applications and machine learning workloads. Help build ...

seeking a Staff Machine Learning Engineer with 8+ years of experience to lead the design and delivery of production AI/ML solutions across Fitch Group. You will set technical direction, lead complex initiatives, and collaborate with product squads, business partners, and cross-functional teams to integrate advanced … capabilities into flagship products and workflows. The AI Implementation Team focuses on: Implementing AI/ML technology in collaboration with business partners and product squads Developing and supporting enterprise-level AI exploration tools and capabilities Providing guidance for efficient and secure development and deployment of AI What We Offer ...

data science, behavioural insights and digital technology to help organisations connect more effectively with the communities they serve. Their cloud-based SaaS platform combines machine learning, AI and sophisticated web technology to support hundreds of thousands of customer interactions every week across sectors including Social Housing, Local Government …/TypeScript frontend. While previous ColdFusion experience is not required, you'll need strong commercial experience with another server-side technology and be comfortable learning CFML. You'll work closely with Software Engineering, Data Science, DevOps, QA and Business Analysis teams to develop secure, reliable and scalable software. ...

influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead … customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data ...

influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead … customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data ...

design. All underpinned by technology created with purpose. We’re looking for GenAI/Agentic Engineers who want to shape the future of Machine Learning, Generative AI and Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks … pitch contribution, and client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development – Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILE We’d love to meet someone ...

Data Engineering Modelling and Transformation team, you will be directly responsible for building and maintaining the foundational data warehouse that powers analytics, reporting, machine learning, and partner data products across Ocado Technology. In this role, you will transform raw operational data into trusted, governed, and business-ready datasets … ensure seamless downstream data delivery for all enterprise consumers. Key Responsibilities: Responsible for building and maintaining the core data warehouse that powers analytics, reporting, machine learning, and partner data products. Design, develop, and maintain scalable, reliable ELT/ETL pipelines across enterprise data solutions. Build and optimise dimensional ...

client pitch contribution, client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & Development – Training to support your career development and the skills demanded within the company, accreditations, certifications etc. YOUR PROFILE We are looking for individuals … evaluation and Responsible AI AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP) Data engineering, pipelines, modelling and governance Advanced analytics, machine learning and statistical modelling Data visualisation and insight solutions Candidates should understand the importance of trusted, accessible and AI-ready data, and be curious ...

useful. Implement appropriate access controls, security and privacy practices to support GDPR and FCA requirements. Prepare the platform for future analytics, AI and machine learning applications. Evaluate tooling and contribute to decisions on the wider data architecture. What we’re looking for Commercial experience delivering and supporting production … financial or regulatory datasets. Streaming technologies such as Kafka and real-time data processing. Building datasets and processes for regulatory reporting. Supporting analytics or machine learning use cases. Experience working within a regulated industry. The package The role offers a £50,000–£75,000 salary, alongside a generous ...

identify trends, patterns and actionable insights. • Producing reports, presentations and visualisations for clients and internal stakeholders. • Applying statistical analysis, predictive analytics and, where appropriate, machine learning techniques to generate meaningful insights. • Managing analytical projects from requirements gathering through to successful delivery. • Translating complex analysis into commercially relevant recommendations. … directly with clients and stakeholders. • A proactive, solutions-focused and intellectually curious approach. We're also interested in candidates who may have experience with: • Machine learning or NLP techniques. • Tableau or Power BI. • AWS and GitHub. • A postgraduate qualification in a quantitative discipline. Why This Role Stands ...

role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. … related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding ...

possible, so we only ask for the minimum criteria. To thrive here, you'll need to bring: Significant experience leading high-performing data science, machine learning or AI teams in a large and complex organisation A strong data science background, with the technical credibility to lead and support … specialist teams A track record of turning data science, machine learning or AI capabilities into measurable business outcomes Experience influencing senior stakeholders and helping leaders understand how data and AI can solve business challenges Experience with cloud-based data and AI platforms. While we work with Databricks ...

Scientist, you'll turn complex and often loosely defined business questions into clear, actionable insight. You'll use Python, SQL, statistical methods and appropriate machine-learning techniques to understand what's happening, why it's happening and what could happen next. You'll combine analytical rigour with commercial … forecasting methods. Experience developing customer churn, lifetime value, propensity, anomaly-detection or segmentation models. Experience analysing financial, operational, customer or risk data. Experience using machine-learning techniques beyond traditional statistical analysis. Experience with Snowflake or another cloud data platform, Streamlit, and Power BI Experience in financial services ...

solutions. You'll work alongside highly skilled architects, engineers and AI specialists to design and build scalable data platforms that power advanced analytics, machine learning and AI-driven decision making. The Role As a Databricks Data & AI Engineer, you will be responsible for designing, developing and optimising modern … models within modern lakehouse architectures. Optimising platform performance, scalability, reliability and cost efficiency. Implementing data governance, security and data quality standards. Supporting AI and machine learning initiatives by creating trusted, reusable data foundations. Essential Experience developing data engineering solutions on cloud platforms Strong SQL and Python skills. Experience ...

helping several teams agree on a practical way forward. GTI is part of Arm's Strategy & Ecosystems organisation and works with teams across graphics, machine learning, drivers, developer tools, and performance. ResponsibilitiesThe Principal Software Engineer will: Lead game-engine investigations and integrations involving new Arm graphics and compute … partners' offices. Nice to HaveExperience in some of the following areas would be useful: Unreal Engine, mobile graphics, Android, or Arm Mali GPUs. Machine learning for graphics, neural rendering, upscaling, frame generation, or development with pre-release hardware and software. We don't expect a deep level ...

this programme, direct hands-on depth across the AI engineering stack is essential: 'strong general-purpose programming (most commonly Python) applied to AI/ML systems Semantic search, vector/embedding infrastructure, and RAG pipeline construction LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns … versioning, deployment, monitoring, and rollback for AI services in production Cloud-native engineering across major providers (AWS, Azure, or GCP), including their AI/ML tooling Containerisation and infrastructure-as-code for repeatable, auditable deployments Secure-by-design engineering appropriate to sensitive public-sector data Desirable Experience AWS/Azure ...

this programme, direct hands-on depth across the AI engineering stack is essential: Strong general-purpose programming (most commonly Python) applied to AI/ML systems Semantic search, vector/embedding infrastructure, and RAG pipeline construction LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns … versioning, deployment, monitoring, and rollback for AI services in production Cloud-native engineering across major providers (AWS, Azure, or GCP), including their AI/ML tooling Containerisation and infrastructure-as-code for repeatable, auditable deployments Secure-by-design engineering appropriate to sensitive public-sector data Desirable Experience AWS/Azure ...

structures, performance optimisation techniques, object-oriented programming. Experience using modern AI-assisted and agentic development workflows in day-to-day engineering using AI/ML APIs and SDKsHands-on experience developing RAG solutions or working with LLMs for chatbots is preferredIn-depth understanding of CI/CD and the tools ...

develop scalable solutions and lead technical delivery across a range of AI and cloud projects. Responsibilities will include: Designing and delivering Generative AI and Machine Learning solutions Building applications using LLMs, RAG frameworks and AI orchestration tools Working directly with clients to understand business challenges and define ...

Permanent As a Data Modeller , you will play a key role in designing, developing and maintaining enterprise data models that enable analytics, reporting, AI, machine learning and business intelligence initiatives. You will translate complex business requirements into scalable, high-quality data solutions, ensuring data is structured, governed … succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity ...

Software Engineer Machine Vision We are looking for an AI Software Engineer to develop software and artificial intelligence models, primarily for machine vision applications. Combining software engineering with applied AI, you will help turn visual data into practical capabilities and integrate those capabilities into reliable applications. The role … improvement. Key Responsibilities Design, develop and maintain software using C++, C# and Python, selecting the appropriate language for each component. Develop, evaluate and improve machine vision models and image-processing algorithms. Prepare and validate image datasets for model training and testing. Integrate AI models into software applications and processing ...

exposure The business is increasing its investment in AI, including Azure AI Foundry. This isnt an AI Engineering position and you dont need deep Machine Learning experience. Practical use of Copilot or another LLM as part of your engineering work would be useful, whether thats development, debugging, code ...

clear data definitions. Enable secure, self-service data analysis using modern AI tooling. Automate manual, repetitive or fragile data processes. Support BI, Data Science, Machine Learning and Applied AI teams. Take ownership of data governance, security, monitoring and platform costs. Line-manage, develop and help grow the Data ...

clear data definitions. Enable secure, self-service data analysis through modern AI tools. Automate manual, repetitive and fragile data processes. Support BI, Data Science, Machine Learning and Applied AI teams through a unified platform. Own data governance, platform security, monitoring and operating costs. Manage, develop and help grow ...