1 to 25 of 106 Machine Learning Jobs in Lancashire

chance to shape both models and how we think about fraud detection as a wider team Responsibilities: You will be part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions … and non-technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data … in data warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity More ❯

opportunity to help provide crucial information and insight to support the management of high-profile health incidents alongside ongoing surveillance activities. UKHSA has a strong data science community with learning opportunities, community groups and hackathon events. We predominantly code in Python and R and utilise AWS and Azure based cloud environments. The teams use Agile ways of working including … strategic and operational decision making use data ethically and appropriately be innovative and adaptable explore existing and new data using a range of statistical tools and techniques, such as machine learning and predictive analytics find patterns in data and transform them into organisational insight A first or second-class honours degree in a numerate discipline, computer science or … supporting development of coding capability across the team. Expertise in wrangling, cleaning and preprocessing data for readiness for analysis and guiding best practice across the team. Ability to apply machine learning techniques, critically assessing model performance, limitations and ethical considerations whilst supporting the development of best practice across the team. Previous experience of leading a team of data More ❯

in working patterns and a company-wide culture to be proud of. Core skills were looking for to succeed in the role: A strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You … model development, with an emphasis on auditability, versioning, and data security. You'll implement automated data science model testing and validation. You'll assist in the optimisation of deployed ML model scoring code in production services. You'll assist in the design and implementation of data pipelines and engineering infrastructure to embed scaled machine learning solutions. You'll … the wider engineering community. You'll collaborate closely with data scientists, data engineers, architects, and the software development team. You'll liaise with stakeholders across the business to ensure ML is being used to improve strategic business decisions and identify new areas for improvements. You'll adhere to the Group Code of Conduct and Fitness and Propriety policies, Company Policies More ❯

sets, and supporting the insights and data science teams. As part of this role, you will also develop your expertise in Artificial Intelligence (AI) and Machine Learning (ML), with access to advanced training in ML Ops. Key Responsibilities: Automate and maintain data pipelines within a cloud-based environment (AWS/GCP/Azure). Source and verify data … large datasets using Python and SQL. Set up new pipelines for data streaming, enrichment, and curation. Manage and maintain source code repositories (GitHub). Investigate and apply AI/ML solutions to enhance cloud capabilities. Key Skills & Experience: Strong proficiency in SQL and Python. Experience in cloud data solutions (AWS, GCP, or Azure). Experience in AI/ML. Experience More ❯

15.07.2025 col-wide Job Description: Brainpool is a fast growing AI start-up, providing custom AI services for business since 2017. Brainpool network of 500 top-level AI and Machine Learning experts supporting delivery of our projects include PhD and MSc-level scientists from top universities such as UCL, Oxford, Cambridge and Harvard. Brainpool provides companies with end … and commercial people. BSc or a MSc in Mathematics, Physics, Computer Science, or an Engineering discipline (STEM). Desirable knowledge and experience Understanding of or working with AI/ML algorithms and data science. Docker and Kubernetes. Experience with Large Language Model stacks, vector databases, Haystack, open-source (Mistral, Falcon, Llama 3), and closed-source models like GPT-4 and More ❯

bring your ideas to life, support and mentor others, and continuously develop your skills in a collaborative, hybrid working environment. About you Role Responsibilities: Design, build, and maintain scalable machine learning pipelines using Python and PySpark. Work within Databricks to develop, schedule, and monitor data workflows, utilising Databricks Asset Bundles. Collaborate with data analysts, engineers, and other scientists … for analytics and reporting needs. Contribute to continuous improvements in our data science practices, testing frameworks, and deployment processes. Mentor and support more junior colleagues, fostering a culture of learning and knowledge sharing. Scope out requirements and deliverables in an agile way, ensuring successful integration of outputs into business processes. Essential Skills and Experience 2-5 years of experience … Strong analytical and communication skills, with the ability to tailor complex insights for both technical and non-technical audiences. Hands-on experience with Databricks for deploying, monitoring, and maintaining machine learning pipelines. Experience working with AWS data services and architectures. Good understanding of code versioning and CI/CD tools and practices. Familiarity with Databricks Asset Bundles (DAB More ❯

opportunities, and to collaborate with other Capgemini teams within Group. YOUR PROFILE Highly collaborative within cross-functional teams, able to coach peers, and drive team cohesion. Passion for continuous learning and a desire to develop expertise in workplace technologies. Bold and proactive at 'going the extra mile' to increase your impact within Capgemini, as entrepreneurial spirit is rewarded. Business … self-teaching, educational background, personal initiatives or projects delivered Understanding in AI solution development practice (including extended OOTB tools, custom agents, trained models) with some knowledge of AI models, learning patterns and applications. Understanding on how to ensure solutions comply with security standards and regulatory requirements. Some experience implementing security measures to protect data and maintain compliance. Some of … vector databases) for their applicability to keybusinesschallenges. Defining solution requirements via business analysis, collaborating with product and business teams to ensure prototypes are clearly linked to strategic goals. Experimenting Machine Learning design, development and deployment, using modern modelling techniques (e.g. CatBoost, XGBoost, RoBERTa), and leveraging both structured and unstructured data sources. Experimenting with the integration and fine-tuning More ❯

EDA, building, evaluation, deployment, monitoring) to deliver scalable MVPs. Develop and optimize production-grade data science models using Python. Design solutions for business challenges using diverse datasets and advanced ML/statistical techniques. Collaborate with cross-functional teams to enhance analytics practices. Write high-quality, maintainable Python code adhering to best practices. Stay updated on new techniques and share insights … data science or advanced analytics. Strong Python programming skills and experience with Test-Driven Development (e.g., pytest). Familiarity with version control and IT delivery tools. Ability to apply machine learning to solve business problems. Experience building predictive/prescriptive models for actionable insights. Excellent communication skills to present findings to diverse audiences. Nice-to-Haves Graduate/ More ❯

production-grade data science models, optimizing and upgrading them as needed. Design scientific solutions to complex business challenges, working with diverse datasets (internal and third-party) and leveraging advanced machine learning or statistical modeling techniques. Collaborate with data scientists, engineers, and pricing teams to mature the organization's analytics practice. Write high-quality Python code following industry best … to conduct high-quality research independently or in small teams, delivering results in a timely manner. Familiarity with version control and IT delivery tools. Understanding of how to apply machine learning to solve business problems. Experience developing predictive and prescriptive models (e.g., predictive modeling, machine learning, or data mining) to deliver actionable business insights. Exceptional written 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 ❯

generally applicable AI solutions and owns the full stack, from research to production. You'll work in a tight-knit, cross-functional group that includes engineers, product managers, researchers, ML Ops and analytics. You'll collaborate across domain teams and work side-by-side with other native developers in an agile environment. Partnering with product, design, and analytics, you'll 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 ❯

years The Azure Data Scientist Associate certification verifies abilities in implementing and operating machine learning solutions on Azure technologies. The exam is designed to check proficiency in ML, NLP and computer vision. It also shows how Azure's vast toolbox and services may lead to the development of scalable and successful machine learning systems. One should … SAS Certified Data Scientist The SAS Certified Data Scientist certification shows that the candidate is able to use SAS for data analysis. In order to progress to the AI & Machine Learning Professional or Advanced Analytics certification, one has to clear the Advanced Programming and Data Curation Professional exams. This test measures the understanding and expertise of the candidate … be well versed in big data technologies. Cost: $400 Validity: 2 years DASCA Senior Data Scientist (SDS) The Senior Data Scientist certificate recognizes individuals who show proficiency in modeling machine learning and data science. The Senior Data Scientist certification comes with criteria that candidates need to fulfill to obtain the certification. A master's degree in a related 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 ❯

preston, lancashire, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 26.06.2025 Expiry Date: 10.08.2025 col-wide Job Description: Job Title: ML Engineering Trainer Location: Fully Remote Job Type: Permanent Role Overview: FIND are working with a Global Data & AI Training/Education specialist who are looking to expand their Data Science … Training team. They’re looking for AI & ML Engineering specialists interested in becoming Trainers/Educators to junior/apprentice ML Engineers This role is ideal for someone who enjoys teaching, mentoring & developing the next generation of ML professionals, while staying engaged with all the current & latest AI technologies and best practices. Key Responsibilities: Deliver high-quality, practical training sessions … in Machine Learning and Artificial Intelligence Engineering. Facilitate both beginner and advanced-level content to AI/ML Engineers and Data Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services More ❯

Analytics (KQL/SQL or BigQuery for GCP) Power Platform and PowerShell Lab 2: Security Operations SIEM management Advanced logging DLP technical policy development Ability to build and train machine learning models to address business needs Power Platform and PowerShell WORKING WITH US We're proud to be building a workplace where everyone feels they belong. We celebrate More ❯

life and influence how data & AI transforms industries - we'd love to hear from you. Requirements GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a high-impact role at the intersection of technology, consulting, and … innovation - shaping and scaling our Data & AI offerings across four transformative domains: Data Platforms Data & ML Operations Generative & Agentic AI You'll partner with Sales, Marketing, and Delivery teams to co-create solutions, design winning proposals, and accelerate business growth. Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead at the forefront … within professional services or a high-growth tech environment. A successful track record of developing and closing £M+ data & AI deals with business stakeholders. Strong expertise in AI/ML market offerings and related solutions (Gen AI, Agentic AI, ML Ops, Model Ops) as well as one or more other core technology areas - such as modern data platforms, data product More ❯

biggest names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The … ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based … neural network architectures and generative adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team driving innovation in AI-driven More ❯

specialists in Data Engineering, BI, Analytics, and Data Governance to solve new andexciting problems - from customer personalisation models to forecasting and NLP use cases. You'll help productionise scalable machine learning pipelines, support automation, and drive continuous improvements in our data science practices. This is a fantastic opportunity for a curious, solutions-focused data scientist to help build … modelling skills across classification, regression, forecasting, and/or NLP Analytical mindset with the ability to present insights to both technical and non-technical audiences Experience deploying and maintaining ML pipelines within Databricks Comfortable working with AWS data services and modern data architectures Experience with CI/CD pipelines and code versioning best practices Preferred skills: Familiarity with Databricks Asset More ❯

for exceptional candidates. The ideal candidate will have a minimum of 5 years' experience in data science or a related field, with extensive knowledge of advanced statistical analysis and machine learning algorithms. Proficiency in Python, R, and SQL is essential. As a Senior Data Scientist, you will play a key role in developing data solutions that drive business … strategy, improve customer experience, and enhance operational efficiency. Join AJ Bell and be part of a forward-thinking organisation that values expertise, innovation, and continuous learning in a collaborative environment. Position: Senior Data Scientist Job Type: Full-Time Location: Manchester About the Role Hackajob is partnering with AJ Bell to fill this position. Create a profile to be automatically … innovative team in Manchester, United Kingdom. As a key member of our data science department, you will leverage your expertise to extract valuable insights from complex datasets, develop advanced machine learning models, and drive data-driven decision-making across the organisation. Main Duties Design and implement sophisticated machine learning algorithms and statistical models to solve complex More ❯

deliver solutions where appropriate, whilst having the knowledge to code directly to underlying models when required. The role will allow you to develop your skills in areas such as machine learning, cognitive services, and cloud-based AI operations. The successful candidate will work within a wider development team to create innovative AI enabled solutions where appropriate, applying the … all environments are available, reliable, secure, and able to meet the demands placed upon them. Key responsibilities include: Designing and implementing AI solutions using Azure AI services, including Azure Machine Learning, Cognitive Services, and Bot Services Developing and maintaining scalable and secure cloud-based applications on the Azure, Power and wider Microsoft 365 platforms Collaborating with cross-functional More ❯

personalization. Hands-on experience with agile product development methodologies. Excellent communication and stakeholder management skills. Desirable: Knowledge of modern data tools (e.g., Snowflake, Databricks, dbt, Kafka). Understanding of machine learning workflows and personalization engines. Product certifications (e.g., SAFe, Pragmatic, CSPO). Key Success Metrics: Consistent development rollouts of the Horizon CDP platform. Increased adoption and usage of More ❯

month (candidates must be based in the UK) About the company & role for Full Stack Engineer (Team Lead): Our client is building a dynamic digital ecosystem that fosters social learning, problem-solving, and transformative connections. Through their Platform, they empower individuals, teams, and organisations to collaborate, share knowledge, and drive meaningful impact. Committed to technology, inclusivity, and real-world … DevOps practices. Agile development experience with CI/CD pipelines, Git, and containerisation (Docker). Arabic language skills to support the platform’s bilingual capabilities. Experience with AI/ML integrations or recommendation systems. Expertise in Matrix/Synapse integration for real-time messaging and communication. Knowledge of WebSockets, real-time messaging, and event-driven architectures. Background in platform monetisation More ❯

in software engineering and architecture. Strong experience with Azure, Python and infrastructure-as-code (e.g., Terraform). Proven leadership in scaling modern systems and teams. Familiarity with AI/ML pipelines. Excellent communication and stakeholder engagement skills. #J-18808-Ljbffr 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 ❯