1 to 25 of 69 Remote/Hybrid Machine Learning Jobs in the North of England

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

title: Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines ...

growing technology team delivering modern data platforms and AI-driven solutions. This is an excellent opportunity to work on large-scale data engineering and machine learning projects using the latest cloud technologies. The Role You'll design, build and optimise scalable data pipelines while developing and deploying machine learning solutions that solve complex business challenges. Working across cross-functional teams, you'll help deliver robust, secure and high-performing data products. What youll be doing: Design and build scalable data pipelines using Python, SQL, Spark and Databricks. Develop, deploy and optimise machine learning models ...

data science can enhance decision-making, optimise business processes and unlock new revenue opportunities. Leading projects from concept through to production, you'll apply machine learning, statistical modelling and advanced analytics techniques to solve complex business challenges. You'll also: Lead, coach and develop a team of Data … professional growth Plan and deliver data science initiatives using Agile ways of working, including sprint planning and progress reporting Develop, deploy and monitor machine learning models and analytical solutions in a production environment Communicate complex analytical findings clearly and confidently to both technical and non-technical stakeholders Identify ...

services. Working closely with senior leaders across Product, Technology, Risk and Compliance, you'll lead strategic transformation programmes, champion the use of AI and machine learning, and ensure the business remains at the forefront of financial crime prevention and payment innovation. Key Responsibilities Lead the strategy and transformation … business growth and regulatory compliance. Oversee financial crime controls across KYC, transaction monitoring, sanctions screening, fraud prevention and investigations. Drive the adoption of AI, machine learning and automation to improve operational efficiency and risk management. Provide executive oversight of payment operations, including card payments, Faster Payments, BACS ...

/Machine Learning Engineer (NLP/LLM) - Contract Duration : 6 months Rate : Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role : A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist … scalability. Experience Requirements : Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including ...

currently possible, and they need security to keep pace with that speed. Reporting straight into the CISO. Think of yourself as the bridge between ML engineering, platform architecture, and security, making sure nothing sensitive gets exposed as the science moves fast. Its still a scaling environment. Theres ambiguity, and youll … Security Engineer, you'll take ownership of security across the AI platform and its agentic systems. Map out the threats specific to AI and ML, and build that into a proper risk framework Decide how model weights, training data, and code get tracked and locked down Build guardrails and sandboxing ...

What you’ll be doing As Lead Data Scientist, you’ll combine deep technical work with strategic leadership: Design and deploy predictive models and ML solutions that power real-time markets. Work hands on with cutting-edge datasets, AI techniques, and scalable data pipelines. Identify patterns and insights that directly … return Fully remote working with flexibility built in. £90,000–£100,000 salary plus additional benefits. Access to huge, high-quality datasets and modern ML tooling. The chance to work on intellectually challenging problems every day. Real influence over large-scale analytical systems and strategy. Clear opportunities for career growth ...

will work with extensive datasets to develop models that determine odds and drive 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. This … 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 guide best practice. Deep understanding ...

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 ...

Design, build and maintain scalable data pipelines and data platforms Develop analytics and AI-enabled solutions that support business decision-making Create and implement machine learning and generative AI solutions Integrate data from multiple sources while ensuring data quality and reliability Work closely with analysts, product teams … similar Strong programming skills in Python and SQL Experience building data pipelines and working with both structured and unstructured data Knowledge of AI, machine learning or generative AI technologies Exposure to frameworks such as TensorFlow, PyTorch, LangChain or similar Experience working with cloud based data platforms and modern ...

ready. Responsibilities: Designing enterprise-scale AWS data and analytics architectures Leading the delivery of cloud-native data platforms across the full data lifecycle Integrating machine learning, Generative AI and large language model capabilities into business solutions Defining data governance, security and architecture standards Advising senior stakeholders on technology … analytics services Experience designing both batch and real-time data processing solutions Knowledge of modern cloud architecture patterns including APIs and microservices Experience implementing machine learning, Generative AI and AI-enabled solutions Strong understanding of data governance, security and compliance requirements Excellent communication and leadership skills What ...

ready. Responsibilities: Designing enterprise-scale AWS data and analytics architectures Leading the delivery of cloud-native data platforms across the full data lifecycle Integrating machine learning, Generative AI and large language model capabilities into business solutions Defining data governance, security and architecture standards Advising senior stakeholders on technology … analytics services Experience designing both batch and real-time data processing solutions Knowledge of modern cloud architecture patterns including APIs and microservices Experience implementing machine learning, Generative AI and AI-enabled solutions Strong understanding of data governance, security and compliance requirements Excellent communication and leadership skills What ...

ready. Responsibilities: Designing enterprise-scale AWS data and analytics architectures Leading the delivery of cloud-native data platforms across the full data lifecycle Integrating machine learning, Generative AI and large language model capabilities into business solutions Defining data governance, security and architecture standards Advising senior stakeholders on technology … analytics services Experience designing both batch and real-time data processing solutions Knowledge of modern cloud architecture patterns including APIs and microservices Experience implementing machine learning, Generative AI and AI-enabled solutions Strong understanding of data governance, security and compliance requirements Excellent communication and leadership skills What ...

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 ...

teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent ...

firms across personal injury and clinical negligence. Fletchers is one of the UK’s largest and fastest-growing consumer law firms. We began using machine learning in real legal work back in 2017 and then went on to build what we think was the first dedicated AI team … Previous experience with Azure (Container Apps, endpoints, and cloud deployment) Experience working with frontend technologies (TypeScript, React, others) Prior exposure to NLP, LLMs, and ML tools Experience in professional services domains In return Fletchers offers: 35 hours working week Bonus scheme (subject to targets being met) 35 days holiday ...

stories and functional documentation. Strong stakeholder management and communication skills. Experience working within Agile delivery environments. Desirable Experience: Exposure to AI, Generative AI or Machine Learning projects. Experience working alongside Data Engineers, Data Scientists or Analytics teams. Understanding of data pipelines, governance and modern cloud technologies. Industry experience ...