1 to 25 of 39 Machine Learning Jobs in Lancashire

role, you’ll help design, develop, and deploy machine learning models that solve real-world problems — all while receiving hands-on training, mentoring, and support from experienced ML engineers and data scientists. Whether you studied Computer Science, Engineering, Data Science, or Maths — if you're passionate about machine learning, love to build, and eager to learn … this is the perfect opportunity to kickstart your career. What You’ll Be Doing You’ll play a key role in helping our team develop and deliver ML-powered solutions: Model Development : Assist in building and training machine learning and deep learning models using Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn Data Preparation : Work … and selection of relevant input features to improve model performance Model Evaluation : Learn to test models for accuracy, robustness, and fairness using best practices Deployment : Help package and deploy ML models into production using tools like Docker, APIs, or cloud platforms Collaboration : Work closely with software engineers, data scientists, and product teams to integrate ML into real products and services More ❯

less environmental impact. .# Job Description # Key Responsibilities May Include: Collaborate with key stakeholders to identify business challenges, translating ambiguous problems into structured analyses using statistical modelling and machine learning algorithms. Lead the selection, validation, and optimization of models to discover meaningful patterns and insights, ensuring models remain relevant, reliable, and scalable. Drive continuous integration and deployment … of data science solutions, optimizing performance through advanced machine learning techniques, code reviews, and best practices. 'Develop and deliver sophisticated visualizations, dashboards, and reports translate complex data into clear, actionable insights for business stakeholders. Present technical solutions to business stakeholders, using creative methods to explain complex concepts, increase understanding, and encourage solution adoption. Mentor and develop junior data … and experience following CRISP-DM data science lifecycle. Expertise taking projects from ideation or experimental Jupyter notebooks to full production deployment. Strong programming skills in Python, with familiarity in ML libraries/frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience with MLOps practices including model drift detection, decay, A/B testing, integration testing, differential testing, Python package building More ❯

Shape the Future with AI — Start Your Career Here Are you fascinated by artificial intelligence, machine learning, and data-driven innovation? Are you excited by the potential of AI to solve real-world problems and build smarter systems? We’re looking for an ambitious and curious Graduate AI Analyst/Engineer to join our AI & Data Science team. … foundation . Essential: A recent graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong … live AI projects with real business impact Structured Learning : Receive training and mentoring in AI tools, techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture : Be part of a collaborative, diverse More ❯

a driven and curious Graduate Data Scientist to join our growing data science team. This is a fantastic opportunity to gain hands-on experience working on real data challenges, learning from experienced professionals, and contributing to impactful projects from day one. Whether your background is in Data Science, Statistics, Mathematics, Computer Science, or a related field, if you have … strong analytical skills and a passion for learning, we want to hear from you. What You’ll Be Doing As a Graduate Data Scientist, you will support the design, development, and delivery of data science solutions across the business. You’ll work on: Data Exploration & Analysis : Use Python, R, or SQL to clean, explore, and visualise data to uncover … patterns and trends. Model Building : Assist in developing machine learning and statistical models to solve business problems (e.g., forecasting, segmentation, recommendation). Business Insight Generation : Translate data findings into actionable insights that drive decision-making. Data Storytelling : Present results through visualisations, reports, and presentations to both technical and non-technical audiences. Collaboration : Work closely with data engineers, analysts More ❯

with a market-leading business to explore new opportunities for us and influence global retailers. Joining our team, you'll work with world class and passionate people to apply machine learning, statistical, optimisation and econometric methods to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis … experts by implementing new capabilities with significant business impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python. Spark and SQL Experience implementing and validating a range of machine learning and optimization techniques Effective scientific communication for varied audiences Autonomy and ownership of projects Good understanding of software engineering principles and best practices What you can expect from us We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But More ❯

team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the … finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools such … as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details. Head of Data Science 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 ❯

data pipelines to ensure accurate, consistent and timely data across our analytical and reporting needs Work closely with Data Scientists, Analysts and business SMEs to automate and scale our machine learning and AI capabilities Support the development of our new cloud-based Data Platform, transforming systematic data into a business view for reporting and analytics Take ownership of … best practices Understanding of the development lifecycle and best practices Desire to build relationships with an ability to deliver solutions to meet customers needs Experience in deploying and maintaining machine learning models desirable Experienced in the use of BI tools such as PowerBI/Tableau desirable Understanding of the regulatory environment and the need for data to comply More ❯

macros, and complex formulas. Proficiency in SQL for querying and managing large datasets. Experience with Python for data manipulation and automation is an advantage. Knowledge of statistical analysis or machine learning concepts is a plus. Strong analytical, problem-solving, and critical-thinking skills, with the ability to translate data into actionable insights. Excellent communication and presentation skills, capable More ❯

S3, and Redshift Leading the migration of legacy systems to a modern AWS architecture Ensuring data quality, integrity, and performance across platforms Developing scalable lakehouse and warehouse solutions Operationalizing machine learning models and analytics workflows Mentoring junior engineers and sharing best practices Staying ahead of the curve with emerging data technologies What You'll Bring: Solid hands-on More ❯

Bing Shopping, while also exploring opportunities across platforms like TikTok, Reddit, YouTube and Meta. A key part of the role is working closely with data science teams to integrate machine learning, propensity modelling and automation into activation and optimisation. Data will sit at the heart of everything you do. You'll use SQL and analytics tools to produce More ❯

of our data platform and machine learning ecosystem. This is a platform-focused role, deeply technical but not architectural, working across high-volume data pipelines and predictive ML models to improve data quality, scale, and performance. Key Responsibilities: Own the data product roadmap and define the vision for the data platform. Manage internal data projects with high customer … Key Requirements: 5-10 years of experience in data roles, with at least 3 years in Data Engineering or Data Science. Strong technical knowledge of large-scale data platforms, ML workflows, and analytics. Experience in SaaS, digital, or consumer tech product companies. Excellent communication and presentation skills, able to translate technical concepts to non-technical stakeholders. Product ownership mindset; not More ❯

and upskill internal teams on effective AI adoption and usage. Contribute to the development of scalable prototypes and production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Strong problem-solving and collaboration skills. Ability to communicate technical concepts clearly to More ❯

agile team on applications, APIs, and services used globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. What We're Looking For 5+ years More ❯

such as leveraging AI models as back-end services or using AI tools to accelerate development. Contribute to the team's knowledge-sharing culture, mentoring less experienced developers and learning new approaches. What We're Looking For Strong front-end development skills: React, TypeScript, JavaScript . Solid experience with Node.js and back-end services (70/30 split front … and working with containers/serverless architectures. Ability to debug and troubleshoot distributed systems. Exposure to modern programming languages (Python, Golang, Rust, etc.) a plus. Interest in AI and machine learning integration , and an open-minded approach to using AI tools in development. Strong problem-solving skills and ability to adapt across technologies. Collaborative mindset - comfortable working in More ❯

a Backend Polyglot 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 polyglot developer to join a nationally respected cultural institution with … 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 Polyglot Developer - What you’ll be doing: As a Backend Polyglot Integration Developer, you’ll work across backend systems, APIs, and digital platforms More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

emerging technologies, especially GenAI. Strong analytical and problem-solving skills. Excellent communication and cross-functional collaboration abilities. Experience in operations, data analytics, or technical support. Exposure to AI/ML tools or an eagerness to learn. Why Join our client? You’ll play a key role in shaping how we use AI to improve customer outcomes, streamline processes, and foster More ❯

a genuine opportunity to join a business going through an enormous data transformation, this section will be integral to the foundation data work, leading through to the exciting advanced ML and AI integration. Due to the scale and complexity of the data platform, it's essential that you've come from a similar environment. The Skill Requirements: Candidates must have More ❯

speed to market with long-term scalability. Leading and mentoring external development teams, ensuring solutions meet the highest standards. Collaborating with clients to experiment with emerging technologies like AI, ML, blockchain, AR/VR, and IoT. What We’re Looking For Strong experience in web and mobile architecture and modern frameworks (JavaScript/TypeScript, Node.js, Python). Deep knowledge of More ❯

Solution Architect AI-Driven High-Scale Platform Kafka, SQL, C#, .NET, Golang, TypeScript, AI/ML Are you ready to architect the next generation of a platform designed to handle millions of transactions per second — while unlocking the power of AI and data intelligence to drive global expansion? We’re undertaking a full systems transformation of a mission-critical platform … analytics, data-driven insights, and intelligent automation Drive event-driven, scalable systems using Kafka, SQL, and cloud-native services Partner with data and AI teams to ensure infrastructure supports ML model deployment and inference at scale Guide development standards, architectural governance, and technical direction across teams Mentor engineers and foster innovation around AI integration and platform modernisation What We’re … Experience with event-driven design (Kafka) and high-throughput data processing Strong hands-on experience in C#, .NET, Golang, or TypeScript , plus SQL/databases Awareness of AI/ML applications in scalable platforms (e.g., real-time recommendations, anomaly detection, predictive analytics) Strong leadership, communication, and stakeholder engagement skills Experience in system rebuilds, migrations, or greenfield platform design is a More ❯