1 to 25 of 84 Machine Learning Jobs in Lancashire

Date: July 2025 Company: Fuzzy Labs Job Title: Lead MLOps Engineer Location: Central Manchester Working style: Hybrid Fuzzy Labs are a Manchester based startup that helps our clients productionise machine learning through Open Source MLOps. We exist to help harness and channel the power of AI more quickly, to make positive change and use AI for good. We … code tools. Fluency in our core software tooling: Git, Unix/Linux, Docker. Plus, a strong opinion on your IDE/editor of choice is welcome Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential. Excellent communication skills; both in customer-facing and internal team communication. Knowledge More ❯

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 ❯

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 ❯

Date: July 2025 Company: Fuzzy Labs Job Title: MLOps Engineer Location: Central Manchester Working style: Hybrid Fuzzy Labs are a Manchester based startup that helps our clients productionise machine learning through Open Source MLOps. We exist to help harness and channel the power of AI more quickly, to make positive change and use AI for good. We are … code tools. Fluency in our core software tooling: Git, Unix/Linux, Docker. Plus, a strong opinion on your IDE/editor of choice is welcome Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential. Excellent communication skills; both in customer-facing and internal team communication. Knowledge More ❯

integrating machine learning models into real-world systems, contributing to projects that have immediate business impact. Key Responsibilities Collaborate with senior engineers and data scientists 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. Proficiency in Python and key libraries such as NumPy, Pandas, scikit-learn, TensorFlow or PyTorch. Basic understanding of machine learning algorithms and model evaluation techniques. Strong analytical More ❯

shaping how they apply data, analytics, and innovation across the product development lifecycle A global network of multidisciplinary experts in AI, clinical development, regulatory strategy, and digital health Continuous learning and growth through Accenture's world-class training programs, mentorship, and access to cutting-edge tools and knowledge A collaborative, purpose-driven culture that encourages bold thinking, values diverse … leadership, and innovation initiatives within the R&D team and wider Life Sciences practice We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big … Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci More ❯

skills, creativity, and the ability to work both independently and collaboratively. Bonus Points: Experience working with SaaS platforms and APIs. Familiarity with cloud security concepts and technologies. Familiarity with machine learning pipelines and MLOps practices Experience with infrastructure as code and DevOps practices Employee Benefits Our competitive benefits packages are designed to support our employees' well-being, both More ❯

improvement. You'll embed Gen-AI technologies (e.g., Microsoft Copilot, OpenAI APIs) into workspace tools and processes to enhance digital workflows and employee interactions. You'll use AI/ML techniques to build predictive maintenance models for device and application health. You'll support the definition of architecture for AI-enhanced service desk automation, including copilots, bots, and intelligent knowledge 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 ❯

technology function to deliver business value - and then assisting the company to deliver those improvements. Our strengths include bespoke software development, system architecture, technology strategy, change management, data science, machine learning and cloud platform engineering. In 2023, Intechnica joined forces with U.S.-based Crosslake Technologies, a solutions-driven, global tech advisory firm serving private equity investors and their 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 ❯

delivery of applications and services. Have technical expertise in one or more of the following technology areas: NoSQL, such as DocumentDB/MongoDB RDF Graph database such as GraphDB ML/AI such as Sagemaker/Bedrock Search technologies such as SOLR or Opensearch/ElasticSearch Data pipeline engineering utilising cloud-based technologies (AWS) Write high quality clean, testable code … led by Phil Smith ( Phil Smith LinkedIn ). Given the complexity of our data and Tradecraft processes we use a broad range of specialist technologies and approaches including AI, ML, graph and document databases, search platforms, serverlesstechnologies and event processing platforms, customer portals, visualisation platforms, Geospatial systems as well as general purpose AWS platform capabilities. Our world suits those who … Vitality Maternity (100% of basic salary for the first 26 weeks followed by Statutory Maternity Pay) Paternity (100% of basic salary for 6 weeks) Life cover Access to LinkedIn Learning Access to an on-site gym (only in Croydon) Life at Janes We believe Janes is truly a great place to work. Our values and leadership code drive everything 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 ❯

degree in Computer Science, Cybersecurity, AI, or at least 8+ years of equivalent professional experience 5+ years of experience in cybersecurity, with expertise in AI security. Deep understanding of machine learning, neural networks, and adversarial attacks. Proficiency in cryptographic techniques and secure AI model development. Proficiency in python, GoLang, TypeScript or equivalent Cloud Languages Strong experience with penetration 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 ❯

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 ❯

Skills & TechnologiesWe're seeking someone with hands-on experience in: Data Science - Expert-level analysis, forecasting, and statistical modelling Artificial Intelligence (AI) - Familiarity with building or improving intelligent systems Machine Learning - Designing, training, and refining algorithms for predictive analytics Databricks - Advanced usage for scalable data engineering and analytics workflows Data Modelling - Structuring and optimising databases for analytical efficiency … Proven experience in a senior analytics role Ability to translate complex data into clear insights and actions Strong communication and collaboration skills A passion for continuous learning and innovation If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right 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 ❯

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 ❯

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 ❯