1 to 25 of 66 Machine Learning Jobs in Lancashire

learning models that power data-driven products and business solutions. This role bridges data science and software engineering, focusing on production-ready ML systems, scalability, and performance. The ideal candidate has strong experience in Python, ML frameworks, data pipelines, and cloud platforms, and is comfortable working … unsupervised, and deep learning techniques as appropriate. Perform feature engineering, model tuning, and validation to improve accuracy and performance. 2. Productionisation & Deployment Deploy ML models into production using scalable, reliable architectures. Build and maintain APIs or batch pipelines for model inference. Monitor model performance, data drift, and retraining needs. ...

semi-autonomous agents using modern agent frameworks and Google AI tooling. Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions. Monitor, optimise, and continuously improve models in live production environments. Contribute to the architecture and evolution of the AI platform and supporting data infrastructure. … Stay current with emerging research, tools, and best practices across ML and Generative AI. What We're Looking For Essential 5+ years' experience in machine learning engineering or applied AI roles. Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems. Strong Python skills using ...

Machine Learning Engineer | Python | Pytorch | Natural Language Processing | LLM | Large Language Models | Remote, Europe About Us We build AI assistants that make technical knowledge instantly accessible. As a research engineer, you will work on advancing our system's ability to answer increasingly complex technical questions. Our technology … techniques (e.g., lexical search, dense vector search) Comfort working in a fast-moving environment with ambiguous problem spaces A desire to learn more about ML research Please note that this position is fully remote in Europe but you MUST have the right to work in your country of residence. Machine ...

Research Engineer (ML) Remote (UK) £90,000 – £120,000 + generous equity Company Overview: We're working with a well-funded early-stage BioAI company applying machine learning to a challenging biological problem with real impact on sustainability and food security. The team is building an ML-first … actively used by scientists to guide real experimental decisions. The Role: They are looking for a Research Engineer who will work closely with ML scientists, chemists, and biologists to design, implement, and evaluate new modelling approaches. Your focus will be on building models, running experiments, validating results, and ensuring that ...

with cross-functional teams at all stages, to turn insights into impactful products. In this role you will Work end-to-end on new ML models from development through to training and optimising Work closely with a small team of data scientists, engineers and product managers Implement scalable data pipelines … conduct performance evaluations of models What we're looking for 3+ years of industry or research experience Python and SQL proficiency, with experience using ML frameworks e.g PyTorch Experience with Azure cloud Driven to progress within a growing SME What our client are offering £70,000 - £80,000 salary ...

/Machine Learning Engineer (NLP/LLM) - Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role: A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist … scalability. Experience Requirements: Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including ...

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 … 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 ...

Senior AI Engineer - 2 days Manchester You will be responsible for designing and delivering production-ready AI and ML solutions that drive business value. This role focuses on building scalable data pipelines, deploying machine learning models, and embedding AI into products and decision-making. Responsibilities Build and maintain …/ML pipelines Develop, deploy and monitor machine learning models Apply MLOps best practices including CI/CD Collaborate with data, analytics and engineering teams Ensure data governance, security and responsible AI Experience Strong experience in ML engineering and data pipelines Python, SQL and Git proficiency Hands ...

1.5 hours per session) Deliver practical, industry-aligned training on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Data Visualization (Matplotlib, Seaborn) Machine Learning (Supervised & Unsupervised) Model Evaluation & Optimization Guide learners through hands-on projects and case studies Support learners during doubt-resolution and interactive discussions … required Ensure session recordings and learning quality standards are maintained Required Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred ...

security posture and compliance. OR Elasticsearch for large-scale data management Deep experience with at least two of the following: Machine Learning (ML) for anomaly detection; Cross-Cluster Replication (CCR) for disaster recovery/HA; Searchable Snapshots/Cold/Frozen Tiers for cost optimization; or advanced ...

will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes. Key Responsibilities AI/ML Strategy & Architecture: Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs … using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands ...

delivered proper, end-to-end data science work in a commercial setting. You'll need; A track record of delivering Data Science or Machine Learning solutions. Strong Python skills (or R) and experience with commonly used libraries. Solid SQL and experience working … with cloud data platforms (Azure preferred). Experience deploying models or pipelines using Databricks (or similar). A good grounding in core DS/ML techniques and the ability to turn data into meaningful insight. Experience working with LLMs or similar modern approaches. Confidence working with stakeholders and explaining technical ...

Product Manager –Platform Intelligence, AI/ML As Product Manager for the Platform Intelligence team at Accelerant, you will define and lead the AI/ML product strategy across the Accelerant Risk Exchange platform. You'll work closely with Design, Engineering, and Decision Science to build tools that help participants … critical part in enabling Accelerant to be a product-led organization. What You'll Do Strategy & Discovery Define and evolve the AI/ML strategy for our Risk Exchange platform in alignment with company objectives. Identify new ways to apply statistical and machine learning models to support risk ...

organisation, which will provide insights into how we operate, and the collaborative environment you'll be part of. This lays the foundation for a learning journey tailored to your goals and preferred style of development. From day one, you'll have access to mentors and subject matter experts … encouraged every step of the way, becoming an integral part of our innovative team. We'll provide the space and resources for continuous learning, experimentation, and improvement – with up to 30% of your time dedicated to personal development. From books, online courses, and conferences to real-world projects supported ...

organisation, which will provide insights into how we operate, and the collaborative environment you'll be part of. This lays the foundation for a learning journey tailored to your goals and preferred style of development. From day one, you'll have access to mentors and subject matter experts … encouraged every step of the way, becoming an integral part of our innovative team. We'll provide the space and resources for continuous learning, experimentation, and improvement – with up to 30% of your time dedicated to personal development. From books, online courses, and conferences to real-world projects supported ...

driving the development of a scalable, future-ready data ecosystem. You'll take ownership of data platform delivery, ensuring it underpins analytics, reporting, and machine learning initiatives across the organisation. Working alongside product leaders, data scientists, and senior stakeholders, you'll translate business needs into robust technical solutions ...

professional confidence. You will coach learners in areas you are most comfortable with, which may include: Data Analytics Data Technician Data Engineering Data Science Machine Learning Alongside this, you will receive ongoing technical training across all data pathways, as well as dedicated development on how to coach effectively … What's On Offer Fully remote working Comprehensive training to transition you into a coaching role Ongoing upskilling across data, engineering, and/or ML disciplines Opportunity to shape the next generation of data professionals Supportive, people-focused learning environment (You DO NOT need to have worked ...

MLOps workflows. · Work across internal products and contract-based venture projects. Requirements · Strong foundational programming skills in Python. · Basic understanding of AI/ML models and how they are trained, deployed, and run. · Familiarity/understanding with version control software (git). · Ability to work in a fast-moving environment ...

into high-quality, structured datasets • Collaborating with engineers and legal specialists to build tools that genuinely shift workloads What they're looking for: • Strong ML fundamentals and hands-on LLM experience • Proficiency in Python and familiarity with modern AI tooling (e.g. embeddings, retrieval, multi-agent architectures, document understanding) • Experience building ...

staffing and talent acquisition platform dedicated to helping leading organisations connect with exceptional talent. As we expand into the cybersecurity, AI/ML, and cloud technology domains, we are inviting passionate and detail-oriented individuals to join our Cyber Security Internship Cohort. Role Overview As a Cyber Security Intern ...

Support strategic account leads in identifying opportunities for deepened client engagement. Business-Technical Communication Serve as the trusted bridge between engineering teams (AI/ML, data, DevOps) and non-technical stakeholders. Frame technical progress and limitations in accessible, value-oriented language. Support tech leads by surfacing risks and clarifying feasibility ...

deliver robust technical solutions. Contribute to modernisation efforts, including: Migrating from Elasticsearch to OpenSearch . Moving capabilities to AWS cloud . Leveraging AI and machine learning to enhance search capabilities. Essential Skills AWS Solutions Architect Certification . Strong experience with Linux , AWS , ElasticSearch/OpenSearch , Terraform , and DevOps … support team members. Why Join Us? Be part of a dynamic team driving critical modernisation projects. Work with cutting-edge technologies, including AI and machine learning. Collaborate with diverse stakeholders and technical specialists. Opportunities for growth and development in a vibrant product group. These contract roles will require ...

multi-million-pound AI transformation programme. This is a rare opportunity to join a build-phase initiative that has already developed advanced machine learning models and is now focused on productising these for real-world, high-impact internal use. You'll be stepping into a Leading AI position … suite engagement in a global organisation with a multi-£billion turnover. What We're Looking For Senior engineering authority with proven delivery of ML/MLOps platforms into production. Hands-on expertise in Python, Cloud and LLM solutions and model lifecycle management. Ability to operate in a high-visibility, high ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world's largest brands. Qualification path No previous professional experience is required to apply to this role … exam that will determine your suitability for the position and complete ID verification. Don't worry, our team will provide you with guidelines and learning materials before your exam. You will be required to complete the exam in a specific timeframe but at your convenience! Equal Opportunity All qualified ...

market and fundamental data. The Data Business Analyst will join the Data Centre of Excellence, encompassing Data Analysis, Data Architecture, Data Intelligence and Machine Learning experts. This Data team helps the Energy traders make use of their data to help make investment and risk decisions. This ...