1 to 25 of 78 Permanent 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

procedures, and documentation to support fab operations and industry compliance (e.g., ISO, VDA, or SEMI standards) Driving digital innovation and automation initiatives, including the use of Artificial Intelligence and Machine Learning for Predictive Maintenance, Yield Optimization, and Smart Factory Solutions, including interfacing with Robotics Ensuring cybersecurity best practices are enforced across all fab-connected systems Overseeing vendor relationships 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 ❯

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 ❯

deliver more value to their customers. BASIC QUALIFICATIONS 2+ years of research experience PhD, or Master's degree and 3+ years of applied research experience Experience with neural deep learning methods and machine learning Knowledge of Machine Learning algorithms and techniques PREFERRED QUALIFICATIONS PhD in Computer Science, Machine Learning, or a related field … with a focus on GenAI Experience in developing and implementing algorithms for LLMs and/or diffusion models inference Programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch Excellent problem-solving skills, with the ability to think creatively and critically about complex problems Strong communication and collaboration skills, with the ability to 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 ❯

environments-including hybrid or cloud-native architectures like AWS, Azure, or GCP. They will be comfortable presenting findings to stakeholders and documenting methodologies, they are also committed to continuous learning, with certifications such as GCTI, GCFA, or OSCP highlighting their depth and breadth of knowledge. They would be a self-starter with strong autonomy and analytical acumen; they thrive … Knowledge of cloud products and log events such as Azure, Amazon Web Services, Google Cloud Platform. Experience building a threat hunting capability from scratch. Familiarity with data science and machine learning techniques in security analysis. Background in building automated hunting pipelines and/or detection-as-code. Desirable Certifications GCFA OSCP GDAT GCIH Or similar certifications, not required … that fosters creativity, collaboration, authenticity, and accountability. We want colleagues to put down roots at NCC Group, and we offer a comprehensive benefits package, as well as opportunities for learning and development and career growth. We believe our people are at their brilliant best when they feel bolstered in all aspects of their well-being, and we offer wellness 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 ❯

as contribute to the growth of the SAP SCM Capability. As part of the role, you will have access to enhance your consulting, functional and technical skills, through Capgemini learning and development, and the latest industry recognised certifications. About our UK SAP Practice Team: Capgemini UK is a leading SAP Integration Partner, helping our clients navigate through complex SAP … well as a solid awareness of the latest SAP capabilities and roadmap. AI and Machine Learning Interest: Passion to stay at the cutting edge of AI and ML advancements in SAP, and leveraging these technologies to drive automation, optimise processes, and deliver intelligent analytics that enhance business performance. Continuous Learning and Development: Commitment to developing your career … seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our More ❯

significant experience in iOS and Android. While our software is largely mobile based, you'll also be able to lead members of your team specialising in Python, AWS and Machine Learning. You'll be responsible for leading and managing a multidisciplinary engineering team, with a tech stack spanning (in order of importance) to the role: Mobile development (iOS & Android … Advanced algorithm development (Python) Cloud platforms (AWS) Machine Learning Web App (ASP.Net, JavaScript on Azure) Desktop App (Python) This senior leadership position requires someone who is still able and willing to be hands on with the code. As a small but rapidly growing team of 15, we're looking for a talented engineering leader, not a hands off … performing applications and platforms. Foster a culture of innovation, collaboration, and continuous improvement within the engineering team. Team Management Manage, mentor, and inspire a team that includes mobile engineers, machine learning specialists, mathematicians and physicists. Support talent acquisition, retention, and development to ensure a high-performing team. Technical Oversight Provide hands-on technical guidance for complex software development More ❯

Senior Analytics Engineer - Speciality Insurance - Manchester City Central - Hybrid - Machine Learning We're on the lookout for a Senior Analytics Engineer to join a Data Analytics team within a Specialty Insurance organisation. This position plays a key role in enhancing reporting and analytics capabilities across the entire organization. Their current team brings strong expertise in Power BI and … Tabular models, and they are now looking to strengthen it further with someone who has a background in machine learning and AI. This is a business-facing role, requiring someone who can help plan and coordinate the delivery of data-driven solutions aligned with business objectives. We've recently rolled out a modern Data Platform featuring embedded Power More ❯

owncreativity to solve our client's challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning softwaree.g. Amazon and Azure machine learning, or Google'sTensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational More ❯

will be beneficial. Key Responsibilities Develop and maintain scalable, efficient backend systems and APIs for internal and client-facing platforms. Collaborate with data scientists and energy specialists to integrate machine learning models and data processing pipelines into production software. Contribute to tools that support renewable energy optimization, including grid analytics, tariff comparison, and wind farm design automation. Work 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 ❯

of Microsoft Fabric, SQL, or Python. Excellent Microsoft Excel skills and its integration with Power BI. Experience in Financial services or Banking preferred. Desirable Skills Knowledge and experience of Machine Learning technologies. Knowledge and experience of AI using Microsoft technologies. In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy. More ❯

at 1st Central . You'll lead in shaping and scaling our Azure Data Platform-designing solutions that are smart, secure, and scalable, supporting everything from business intelligence to machine learning. You'll collaborate with Data Architects, Principal Engineers, and teams across Tech to deliver infrastructure as code using tools like Bicep and Terraform. Whether it's setting standards … periodically. What's involved: Collaborate with Data Architecture and Principal Engineers to develop new data capabilities in our Azure Data Platform. Lead design and implementation of Data Science and ML Ops environments. Manage infrastructure, security, and performance of the Azure platform, ensuring data protection and insight delivery. Translate high-level solutions into detailed designs and work packages. Build and test More ❯

core ecosystem. Proven experience in designing, developing & deploying scalable backend systems. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS) or Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Excellent communication, collaboration & problem solving skills, ideally with some experience in agile ways of working. Security clearance: You must be able More ❯