24 of 24 Remote Machine Learning Jobs in Lancashire

sustained improvements to products, prices and 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 by using robust test … improve company performance and our 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 the Senior Machine Learning Stakeholders, such as the Head of Machine Learning, Head of Data Science, and Head of … Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and More ❯

Halifax, AA, Saga and Lloyds Bank to list a few. As a Machine Learning Engineer, you will help build and maintain the pricing team’s MLOps and ML Lifecycle environment to support the creation of pipelines by automating the sophisticated machine learning models and processes that underpin our market-leading technical modelling and pricing function. Key … processes. Work closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and … results in a concise manner both verbally and written Previous industry experience in a STEM role or educated to the Master’s level in a STEM or DS/ML/AI or maths-based discipline. Behaviours: Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes Strong grasp of industry standards More ❯

training, and integrating machine learning models into real-world systems, contributing to projects that have immediate business impact. Key Responsibilities Collaborate with senior leadership team to build ML/AI models. Perform data wrangling, cleaning, and feature engineering on varied datasets. Help deploy machine learning pipelines and support integration into production. Evaluate model performance and suggest … improvements. Keep up with advancements in AI/ML to contribute fresh ideas to the team. Skills and Experience: Degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Understanding of machine learning algorithms and model evaluation techniques. Strong analytical and communication skills. Comfortable working in a collaborative environment and taking feedback. Desirable: MSc in a More ❯

a minimum of 1 day per week. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or … for which they are responsible. Stakeholder Communication & Visibility: Ensure clear communication and good visibility with stakeholders such as risk teams, regarding how data scientists at Starling observe and manage ML and AI models. Observability Centre of Excellence: Support colleagues in enhancing their observability work by maintaining existing observability tooling, assisting in identifying key metrics to monitor, and providing expert advice … on internally-developed model behaviour characterisation techniques. Innovate and Implement Novel Methods: Develop and implement cutting-edge techniques and frameworks to deepen our understanding of AI and ML model behaviour, enabling the safe and effective exploitation of advanced AI. This includes contributing to initiatives such as LLM-as-a-judge, RAG evaluations, and agentic workflow assessment. To thrive in this More ❯

leadership in a collaborative environment. This position sits within a growing Analytics and Insights team of four, focusing on the technical side of customer data analysis including statistical modelling, machine learning models, and data visualisation tools such as Power BI. You will manage extensive survey programmes, including over 1,000 customer surveys annually and transactional surveys, ensuring compliance … improvements. Key Responsibilities: Design and manage comprehensive customer survey programmes, ensuring statistical robustness and regulatory compliance with TSM requirements Process and analyse large datasets using statistical modelling techniques and machine learning approaches to uncover meaningful customer insights Translate complex data into clear, actionable insights for business stakeholders Create compelling presentations and visual reports, demonstrating strong storytelling abilities to … findings with strong storytelling abilities, capable of simplifying complex analysis into actionable business insights Demonstrate strong presentation skills and create compelling visual narratives from data Experience with statistical modelling, machine learning techniques, and data visualisation tools such as Power BI Comfortable managing large-scale survey programmes and working with both quantitative and qualitative customer feedback data Strong communication More ❯

it, how to store it, how to structure it, how to transform it, and how to consume it for data-centric functionality including data APIs, data monetisation, Gen AI, machine learning, management information, and reporting. Joining Deloitte provides access to strong training and learning opportunities. You will work in fast-paced teams with talented, motivated colleagues and More ❯

Desirable (but not essential): Experience with cloud platforms (AWS, Azure) Familiarity with Docker, Kubernetes , or config tools like Ansible Exposure to machine learning frameworks (e.g., TensorFlow, Amazon ML) Understanding of relational, document, or graph databases What's on Offer: Flexible and hybrid working options 25 days annual leave (with buy/sell and carry-over options) Private medical More ❯

Desirable (but not essential): Experience with cloud platforms (AWS, Azure) Familiarity with Docker, Kubernetes , or config tools like Ansible Exposure to machine learning frameworks (e.g., TensorFlow, Amazon ML) Understanding of relational, document, or graph databases What's on Offer: Flexible and hybrid working options 25 days annual leave (with buy/sell and carry-over options) Private medical More ❯

Desirable (but not essential): Experience with cloud platforms (AWS, Azure) Familiarity with Docker, Kubernetes , or config tools like Ansible Exposure to machine learning frameworks (e.g., TensorFlow, Amazon ML) Understanding of relational, document, or graph databases What's on Offer: Flexible and hybrid working options 25 days annual leave (with buy/sell and carry-over options) Private medical More ❯

candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯

a fast-moving environment, bringing structure and clarity to complex problems. 5+ years experience in industry, and at least 2+ years of experience in developing and deploying AI/ML solutions and automating workflows in a professional setting Proficiency in CRM/CAFM systems desirable and a deep understanding of their functionalities. Previous experience working within an M&E environment More ❯

demonstrate depth and breadth across the architecture domains: Applications, Data, DevOps, Enterprise Architecture, Infrastructure, Platforms, Security, Integration, Business Architecture Strong understanding of emerging and innovative technologies, like AI/ML and no code/low code, and how to shape IT strategy and delivery to leverage those technologies. Experience in capability development activities, such as team building, training, recruitment, career More ❯

Build scalable models and prototypes using modern frameworks and cloud platforms. Contribute to long-term AI strategy and roadmap development. Ideal Candidate: Strong hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Excellent communication and mentoring skills. Ability to translate complex technical concepts for non-technical More ❯

issues are addressed. Support team development through mentoring junior analysts, delivering technical training, and facilitating tabletop exercises. Lead use case development, approve tasks, and develop new detection content including machine learning analytics and security automation. Maintain and update SOC documentation, processes, procedures, and operational metrics/dashboard reporting. Build and enhance threat intelligence capabilities, sharing actionable insights across More ❯

and other modern solutions. Some of your responsibilities and tasks would include (but are not limited to): Identifying opportunities for new AI technologies and working with the AI/ML department on creating new or improving existing virtual agents, predictive analytics, and machine learning within the ITSM ecosystem Supporting ITSM workflow improvements through the proposal and development of … balanced with some automation. AI expertise is key here. Key skills and experience required: Experience with Virtual agent technology and creating complex prompts Experience working with wider AI/ML professionals on new AI Agent/RPA development Ideally you may have experience working with AI in ServiceNow, talkdesk or Genesys, or other Service management platforms Experience documenting processes and More ❯

findings to non-technical audiences. Curiosity, problem-solving mindset, and the drive to turn data into practical business solutions. Bonus: exposure to DBT, Fivetran, Python, Git, data governance, or machine learning techniques. Perks & Benefits: 2 x basic annual salary Death in service 8% pension(5% employee) 25 days holiday plus bank holidays What happens next? One of our More ❯

excellence :Ensure the highest levels of service availability, security, compliance and resilience across all platforms and services. Data leadership :Own enterprise data services and governance, enabling analytics, AI/ML and data-driven decision making. Vendor and partner strategy :Optimise sourcing, negotiate at executive level, and ensure supplier ecosystems deliver real competitive advantage. The Leader We're Looking For We More ❯

property law, helping thousands of people to buy, sell and remortgage their home. They provide our clients with a stress-free online experience, underpinned by our process automation and machine learning platform, and delivered through our wholly owned English law firm. Their revenue has tripled year-on-year, and they’ve carved out a reputation as client-focused More ❯

with stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance More ❯

work directly with clients to understand their challenges. You will then use your experience to advise on solutions that can benefit the business and help improve performance using AI, ML and Advanced Analytics. The client is committed to becoming leaders in their industry within the UK and is renowned for offering fantastic opportunities to move up the ranks of the … models into client environments and monitor on-going performance, making changes where necessary To be successful in this role you will have . Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would More ❯

A well-established business is looking for an accomplished Software Engineer with expert Python skills to join its organisation. Please note, this role is Outside IR35. The company embraces hybrid and flexible working so you will be able to work More ❯

experience with complex enterprise SaaS solutions. The role is deemed outside IR35. Key Responsibilities Design, develop, and deploy AI-powered features using C#/.NET technologies. Integrate AI and ML components into existing SaaS platforms. Collaborate with product and engineering teams to explore intelligent automation, search, and decision systems. Use and help evolve AI infrastructure within the business (e.g., ML.NET … maintainable code, following best practices and clean architecture. Key Skills Strong experience developing with .NET/C# in production environments. Proven track record of delivering or integrating AI/ML technologies into software solutions. Experience working with enterprise SaaS applications. Familiarity with integrating AI models into business processes. Familiarity with AI frameworks like ML.NET and/or Semantic Kernel is More ❯

experience with complex enterprise SaaS solutions. The role is deemed outside IR35. Key Responsibilities Design, develop, and deploy AI-powered features using C#/.NET technologies. Integrate AI and ML components into existing SaaS platforms. Collaborate with product and engineering teams to explore intelligent automation, search, and decision systems. Use and help evolve AI infrastructure within the business (e.g., ML.NET … maintainable code, following best practices and clean architecture. Key Skills Strong experience developing with .NET/C# in production environments. Proven track record of delivering or integrating AI/ML technologies into software solutions. Experience working with enterprise SaaS applications. Familiarity with integrating AI models into business processes. Familiarity with AI frameworks like ML.NET and/or Semantic Kernel is More ❯

experience with complex enterprise SaaS solutions. The role is deemed outside IR35. Key Responsibilities Design, develop, and deploy AI-powered features using C#/.NET technologies. Integrate AI and ML components into existing SaaS platforms. Collaborate with product and engineering teams to explore intelligent automation, search, and decision systems. Use and help evolve AI infrastructure within the business (e.g., ML.NET … maintainable code, following best practices and clean architecture. Key Skills Strong experience developing with .NET/C# in production environments. Proven track record of delivering or integrating AI/ML technologies into software solutions. Experience working with enterprise SaaS applications. Familiarity with integrating AI models into business processes. Familiarity with AI frameworks like ML.NET and/or Semantic Kernel is More ❯