1 to 25 of 56 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 ❯

new product to enhance our large language models with speech-to-speech capabilities. This greenfield project offers a unique opportunity to help define its research direction and build the machine learning systems that will power it. We're seeking a data scientist with a strong research background in machine learning and a focus on speech or … research concepts into deployable features Contributing to improving the team's workflows to help foster a healthy, productive, and innovation-focused environment What We're Looking For? Background in machine learning or data science, ideally with a research focus (PhD or MSc with equivalent industry experience … Experience working with LLMs, speech technologies (ASR, TTS), or multimodal systems Strong programming skills in Python, with experience in using PyTorch Hands-on experience with training and fine-tuning ML models, including setting up experiments and evaluating results Ability to read, interpret, and implement techniques from recent academic papers into practical, working solutions Strong communicator, comfortable working across interdisciplinary teams 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 ❯

and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning … partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory. In This Role, You'll Get to Design, code, experiment and implement models and algorithms … Research discover and harness new ideas that can make a difference. What You'll Need To Succeed 4+ years hands-on data science experience. Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. Significant proficiency in SQL and languages like Python, PySpark and/or Scala. Can More ❯

NLP, and more to fuel scalable business growth and operational excellence. Role Scope Lead the identification of opportunities and risks in a fast-evolving competitive landscape, using AI/ML to deliver measurable business value & growth. Understand and maintain a RADAR of technologies, in order to understand the risk and reward profile of selecting a technology to capitalise on an … a background in computer science, machine learning, data science or a related STEM field (degree or equivalent experience). Hands-on experience developing and deploying production-grade ML models, including advanced RAG (retrieval-augmented generation) systems. Deep expertise in Generative AI, LLMs, NLP, and Knowledge Graphs-with a track record of translating complex models into real-world business … solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Highly proficient in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimise performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This a career-defining opportunity working within More ❯

implement scalable data solutions in Azure cloud environments Collaborate with cross-functional teams to understand data requirements Ensure data quality, integrity, and security across platforms Support the deployment of machine learning models and advanced analytics Monitor and troubleshoot data workflows and performance issues Requirements: Proven experience with Azure Data Services (Data Factory, Databricks, Synapse) Strong knowledge of Python … data engineering context Excellent communication and stakeholder engagement skills Desirable: Experience with Delta Lake, Power BI, and Azure DevOps Knowledge of data governance, security, and compliance frameworks Exposure to machine learning workflows and MLOps Relevant certifications (e.g. Microsoft Certified: Azure Data Engineer Associate) Benefits: Competitive salary up to £65,000 Hybrid working (2 days in Manchester office) Pension More ❯

Advising on and demonstrating technology capabilities Performing both routine and complex systems maintenance Designing and delivering bespoke technology for research purposes Investigating replacement and new technology for AI and Machine learning If you possess a combination of the following skills, then LETS TALK! Knowledge of Python, R or C++ programming Familiar with data analytics, analysis and machine learning models Previous experience in a research environment is highly advantageous but not essential Designing software solutions Writing and executing tests Linux In return you will be rewarded with ongoing career development and training at the cutting edge of research technology. What you need to do now If you're interested in this role, click 'apply now' to More ❯

real-time messaging and stream processing is a plus. Data Engineering: Experience with Apache Spark, Databricks, or similar big data platforms for processing large datasets, building data pipelines, and machine learning workflows. Workflow Orchestration: Familiarity with tools like Apache Airflow or Temporal for managing workflows and scheduling jobs in distributed systems. Stream Processing: Experience with Apache Flink or More ❯

influence product innovation, operational excellence, and commercial success. Role Overview Define and drive the enterprise AI strategy - identifying opportunities for innovation, automation, and market differentiation using advanced AI/ML technologies. Own the full lifecycle of AI initiatives, from vision and roadmap to technical architecture, delivery, optimisation, and governance. Build and lead cross-functional AI teams, ensuring alignment between technical … scale. What You Bring Proven leadership in delivering enterprise-scale AI strategies, ideally in a high-growth SaaS or technology-led environment. Strong academic or practical background in AI, ML, Data Science, Computer Science or a related STEM field. Demonstrated hands-on expertise in building and deploying advanced ML and Generative AI models in production (including RAG Architecture) Deep technical … proficiency with LLMs, NLP, Python, SQL, and major AI/ML frameworks (e.g., PyTorch, TensorFlow). Strong understanding of AI engineering fundamentals including DevOps, CI/CD, MLOps, and DevSecOps. Experience building AI governance frameworks to address ethical risk, model accuracy, and regulatory compliance. Why Join? This is a career-defining opportunity to shape the AI strategy of a high 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 ❯

up SaaS company who are seeking a Senior Data Scientist in Manchester or London. The Role We're seeking a skilled professional with a background in data science and machine learning to contribute to the development of systems that support critical business goals … including fraud detection. You'll work with large datasets, help build scalable solutions, and collaborate with various teams to ensure models remain effective and reliable. Responsibilities Develop and deploy ML models to detect bot and fraudulent traffic Lead research and prototyping of new detection methods Monitor model performance and address drift or false positives Collaborate across teams to turn insights … into product features Ensure compliance, scalability, and reliability of ML systems Skills Required Proven experience with ML in production environments Strong skills in Python, SQL, and AWS (SageMaker, Lambda, etc.) Familiarity with MLOps and real-time data applications A pragmatic mindset and strong problem-solving ability Background in adtech or fraud detection is a bonus 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 ❯

documentation and communication skills to support team alignment and client interactions. Passion : Enthusiasm for automation, API-driven solutions, and creating user-centric experiences. Desirable Skills Experience with AI/ML integration for lead scoring or customer segmentation. Knowledge of additional cloud platforms (e.g., Google Cloud, Azure) or containerisation (Docker, Kubernetes). Familiarity with Ideal Postcodes API or similar geolocation services. More ❯

Maintain data quality and integrity through validation processes and monitoring Contribute to the development of data lakehouse and data warehouse solutions Collaborate with data scientists and analysts to operationalise ML and analytics models Resolve data performance issues and improve automation across the platform Provide technical input and mentorship to junior engineers Keep up-to-date with emerging data technologies and More ❯

or related field (or equivalent experience) 1+ years of hands-on AI agent development (multi-agent systems a plus) Strong Python programming skills and experience with modern AI/ML frameworks Familiarity with LLMs, prompt engineering, CoT reasoning, and AI orchestration tools Solid understanding of audio processing and music tech Proven ability to build and integrate APIs and scalable systems More ❯

or related field (or equivalent experience) 1+ years of hands-on AI agent development (multi-agent systems a plus) Strong Python programming skills and experience with modern AI/ML frameworks Familiarity with LLMs, prompt engineering, CoT reasoning, and AI orchestration tools Solid understanding of audio processing and music tech Proven ability to build and integrate APIs and scalable systems More ❯

or related field (or equivalent experience) 1+ years of hands-on AI agent development (multi-agent systems a plus) Strong Python programming skills and experience with modern AI/ML frameworks Familiarity with LLMs, prompt engineering, CoT reasoning, and AI orchestration tools Solid understanding of audio processing and music tech Proven ability to build and integrate APIs and scalable systems 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 ❯

key LBG development technologies (e.g. Java, JavaScript, Java Spring Boot, Python). Good knowledge of cloud architecture, cloud platform as a service, particularly GCP. Good understanding of AI/ML concepts and models including Agentic AI. Good understanding of Data Architecture & Modelling concepts. Appreciation for Architectural Frameworks such as TOGAF, Archimate, Software patterns or similar. Experience of Cloud patterns and More ❯

skills and experiences: Essential Software development using one or more high-level programming languages (e.g. C, C++, Java, Python) Practical applications of Data Science, ideally in the domain of Machine Learning for Artificial Intelligence, and associated development toolsets Utilising collaborative Continuous Integration/Continuous Deployment environments within the Windows and Linux operating systems based on Open Source toolsets More ❯

writing AI-specific user stories, managing AI experiments, and tracking prompt/system performance Strong collaboration with engineering and data teams – understanding of APIs, cloud platforms (AWS, Azure), and ML workflows Familiarity with tools like Miro, Azure DevOps, Aha!, and Gen AI prototyping platforms What You Bring: Product thinking that’s user-first and AI-fluent Strategic vision with the More ❯

key LBG development technologies (e.g. Java, JavaScript, Java Spring Boot, Python). Good knowledge of cloud architecture, cloud platform as a service, particularly GCP. Good understanding of AI/ML concepts and models including Agentic AI. Good understanding of Data Architecture & Modelling concepts. Appreciation for Architectural Frameworks such as TOGAF, Archimate, Software patterns or similar. Experience of Cloud patterns and More ❯