1 to 25 of 47 DemandTrendPermanent 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 ❯

2000AD, publish comics and graphic novels such as the amazing Judge Dredd. We're seeking a skilled and innovative Machine Learning Engineer to join our cutting-edge ML Team. You'll be part of a small, highly collaborative group dedicated to pushing the boundaries of AI/ML technology in gaming. This mid-level position is ideal for … deliver impactful solutions that help shape the future of our game products. In this role, you'll work closely with the Head of Machine Learning and our ML Engineers to create, design, develop, and optimise ML/DL systems that: Generate game levels and 3D worlds. Enhance our game products. Develop custom tools for our teams. Integrate ML … face collaboration and encourage working from our Oxford headquarters. However, we understand that flexibility matters, so we're open to discussing hybrid options. Key Responsibilities: Implementation, and optimisation of ML algorithms and tools for game-level generation and enhancement. Collaborate with cross-disciplinary teams (art, design, code) to integrate ML models into real-time game workflows. Conduct and direct experiments 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 ❯

Manchester. Overview The Lead AI Developer will be responsible for leading the design, development, and deployment of advanced AI solutions. This role demands deep technical expertise in AI and machine learning paired with strong leadership skills to guide and mentor development teams. The successful candidate will manage AI projects end-to-end ,from architecture through to production, ensuring … deployment, continuous monitoring, and lifecycle. Drive innovation by researching and integrating emerging AI technologies, frameworks, and best practices. Required Skills and Qualifications Minimum 6+ years' experience in AI development, machine learning engineering, or closely related fields. Proven track record of leading AI projects through all phases, including design, development, and production deployment. Proficiency with machine learning 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 ❯

a critical advantage in the increasingly competitive insurance market. As part of your Data Science career you will be expected to further advance a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems and adding demonstrable commercial value. Key Responsibilities: Lead the delivery of … Science/Analytics Experience ideally within insurance or financial services. Strong academic background in a numerical discipline (eg BSc Mathematics, Computer Science, Data Science). Proficiency in statistical and machine learning techniques (eg logistic regression, clustering, GBMs) and the application of these in a business context. Advanced SQL and experience with Python and/or R. Strong communication … Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. Experience mentoring junior analysts, sharing expertise and fostering a culture of continuous learning and innovation. 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 ❯

AI Engineer/ML Engineer - CRYPTO - REMOTE We are collaborating with a cryptocurrency analytics firm that assists clients in identifying market opportunities, conducting due diligence, and protecting portfolios. The company is expanding its strategic capabilities in AI & ML. They are seeking a skilled and driven Senior AI/ML Engineer to join their team. In this position, you will design … and manage AI models to process extensive blockchain data, identifying patterns and insights that guide decision-making for cryptocurrency investors. As a Senior AI/ML Engineer, your work will be essential in enhancing the platform's functionality, ensuring the delivery of a cutting-edge product to users. Your expertise will be instrumental in influencing the technology's evolution and … solidifying the company's status as a leader in blockchain analytics. You will need: Spearhead the design, implementation, and deployment of AI/ML models to analyze blockchain data, ensuring optimal performance and scalability. Work alongside product managers and engineers to integrate AI/ML models into the platform, boosting its analytical capabilities and enhancing the user experience. Stay up 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 ❯

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 ❯

outcomes using data. Stay up to date with industry trends in mobility, IoT, and AI, and bring fresh thinking to the team. Qualifications Strong experience with Python, SQL, and machine learning libraries. Experience working with time-series, geospatial, sensor or video data — ideally in a telematics, mobility, or IoT context desirable but not essential. A self-starter who More ❯

holidays (option to buy/sell after 2 years) Bonus scheme recognising high performance Life assurance and employer pension contributions Choice of tech setup to suit your working style Learning & development budget + 1:1 coaching Cycle-to-work scheme & free parking Hybrid working model with flexible start/finish times £100 annual home office allowance DATA SCIENTIST ROLE … build, and deploy monitoring and alerting systems that ensure the accuracy and reliability of core datasets. You'll work across multiple teams to define key metrics and thresholds, productionise ML/statistical models, and create frameworks that scale across products and business units.You'll take projects from concept to delivery - scoping requirements, preparing and analysing large datasets, deploying solutions into … data quality and monitoring. KEY SKILLS/EXPERIENCE: Proficient in Python & SQL for analysis, modelling, and interrogation Experience with large datasets and distributed data processing (PySpark) Skilled in deploying ML/statistical models into production Knowledge of AWS cloud infrastructure Strong analytical, problem-solving, and troubleshooting skills Ability to work with technical and non-technical stakeholders Previous experience in monitoring More ❯

Work Scheme: For the cyclists among us, we've got you covered. · Gear You’ll Love: Choose the tech that works for you, we'll try and source it! · Learning & Growth: Benefit from one-to-one coaching, a budget for training programs, and all the support you need to keep growing. · Giving Back: Join us in supporting local charities … monitoring and alerting systems to ensure the reliability and accuracy of key datasets and processes. · Collaborate with teams to define relevant metrics, thresholds, and KPIs. · Build, maintain, and productionise machine learning and statistical models using Python and PySpark. · Deploy monitoring tools and models using AWS infrastructure. · Create scalable frameworks for future monitoring requirements across products and teams. · Investigate … for: · Proficiency in Python and SQL for analysis, model development, and data interrogation. · Experience in handling large datasets with PySpark and managing distributed data processing. · Comfortable deploying statistical or ML models into production environments. · Strong understanding of cloud infrastructure, preferably AWS. · A methodical, problem-solving mindset with high attention to detail. · Able to scope, define, and deliver complex solutions independently. More ❯

across sectors such as healthcare, defence, retail, and the public sector. In this role, you'll work directly with clients to design and implement innovative digital solutions - from deploying machine learning models that reduce hospital admissions to building AI tools that optimise supply chains or support national policy decisions. This isn't just a technical role - you'll … tooling. Strong leadership and communication skills, with experience guiding teams and working with non-technical stakeholders. Passion for solving complex problems and delivering operational change at pace. Adaptability, continuous learning, and a collaborative mindset. Desired Skills and Experience Consulting, Data Science More ❯

across sectors such as healthcare, defence, retail, and the public sector. In this role, you'll work directly with clients to design and implement innovative digital solutions - from deploying machine learning models that reduce hospital admissions to building AI tools that optimise supply chains or support national policy decisions. This isn't just a technical role - you'll … tooling. Strong leadership and communication skills, with experience guiding teams and working with non-technical stakeholders. Passion for solving complex problems and delivering operational change at pace. Adaptability, continuous learning, and a collaborative mindset. More ❯

across sectors such as healthcare, defence, retail, and the public sector. In this role, you'll work directly with clients to design and implement innovative digital solutions - from deploying machine learning models that reduce hospital admissions to building AI tools that optimise supply chains or support national policy decisions. This isn't just a technical role - you'll … tooling. Strong leadership and communication skills, with experience guiding teams and working with non-technical stakeholders. Passion for solving complex problems and delivering operational change at pace. Adaptability, continuous learning, and a collaborative mindset. Desired Skills and Experience Consulting, Data Science More ❯

as a Backend Integration Developer here. No two weeks look the same. The mix of backend software development, systems integration, and cloud infrastructure work means you’ll constantly be learning, solving problems, and collaborating with colleagues from across the organisation. This is a fantastic opportunity for a technically adaptable developer to join a nationally respected cultural institution with an … automation or backend logic. * Experience with other OO programming languages. * Familiarity with cloud platforms, especially Microsoft Azure. * Containerisation tools such as Docker. * Automation tools like Ansible. * Interest in AI, machine learning, and related technologies. Backend Integration Developer - What you’ll be doing: As a Backend Integration Developer, you’ll work across backend systems, APIs, and digital platforms to More ❯

Data Analyst role within 12 months of graduation, we’ll refund 100% of your fees. What You’ll Gain - Hands-On Skills: Excel, SQL, Python, Power BI, Azure AI, Machine Learning - Industry Certifications: CompTIA Data+, Microsoft Power BI (PL-300), Azure AI Fundamentals (AI-900) - Real Projects: Work on real-world data challenges to showcase in your CV More ❯