1 to 25 of 38 Permanent Machine Learning Jobs in Lancashire

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 ❯

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 ❯

Scientist to join our talented team at our global head office in Oldham, Greater Manchester. The Graduate Data Scientist role overview: This role is to maintain and proactively develop Machine Learning algorithms for current and future products, with a core focus on biometric technologies. Your Responsibilities as a Graduate Data Scientist: Contribute directly to the development, implementation, and … validation of Machine Learning algorithms for our industry-leading biometric and face analysis technologies. Optimize and fine-tune existing models, including tuning and retraining existing Convolutional Neural Networks (CNNs). Investigate and resolve underlying system and algorithm issues identified through testing and customer feedback. Drive continuous improvement through research and development of novel techniques in the field. Ensure … processes for quality development (e.g., standard reporting, source control, integration). Your Skills & Experience: A degree in Mathematics, Computer Science or Computational Science Basic knowledge of Data Science/Machine Learning algorithms and full data processing pipelines. Proficiency in a Data Science prototyping language such as Python or MATLAB. Understanding of Convolutional Neural Networks (CNNs) and Feature Extraction More ❯

Head of AI- (Associate Director) and take the helm of their artificial intelligence transformation. This is dynamic and progressive role where you will define the organisations generative AI and machine learning strategy, with hands-on technical leadership to build production-grade AI capabilities that deliver cutting edge client solutions and optimise business performance The Role Own the company … LLMs, NLP, and RAG systems Strong knowledge of Knowledge Graphs and semantic technologies Proficient in Python, SQL, PyTorch/TensorFlow Experience with DevOps, CI/CD, DevSecOps and secure ML pipelines. Proven experience in AI/ML/Data science leadership with measurable business impact. Degree in Computer Science, Machine Learning, Data Science or related STEM field Imagine More ❯

the insurance industry, across a range of business functions. Without a solid data foundation, clients struggle to achieve their vision for a data-powered future, including implementing advanced analytics, machine learning, and artificial intelligence. Our team delivers transformational AI and data solutions that benefit our clients, their customers and regulators. A well-designed data solution architecture sits at … store it, how to structure it, how to transform it, and how to consume it for wide variety of data-centric functionality, including data APIs, data monetisation, Gen AI, machine learning, management information and reporting. As a Senior Manager, you will play a critical role in designing, developing, and implementing the end-to-end data journey for our … environment. Contribute to the development of proposals for new business opportunities, showcasing your expertise and understanding of client needs. Stay abreast of industry trends and vendor landscape through continuous learning and adapt to the ever-evolving landscape of data technologies and methodologies, as well as building relationships and solution understanding with leading claims solution vendors. Connect to your skills More ❯

to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable More ❯

to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable More ❯

engineers in the field. Our platform allows our energy specialists to be the most productive in the industry, with our suite of AI tools making us pioneers in using ML and AI to make agents' lives easier and customers happier. We do it by hiring clever, curious, and self-driven people, enabling them with modern tools and infrastructure and giving … them lots of autonomy. Our ML team consists of ML, front-end and back-end engineers, so that we can rapidly prototype and get innovative tools in use at breakneck speed. We've had great success in using AI to bring better service to customers, and we want to bring that success to the whole business. You'll be part … the millions of lines of code that run Kraken, leveraging techniques at the cutting-edge of the technology like GraphRAG, agentic workflows, finetuning, and reinforcement learning Use classic ML and NLP techniques to complement and improve LLM systems Act as a center of excellence for the whole business in AI, as a floating resource that consults other teams use 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 ❯

real-time messaging and stream processing is a plus. Data Engineering: Experience with Apache Spark, Databricks, or similar big data platforms for processing large datasets, building data pipelines, and machine learning workflows. Workflow Orchestration: Familiarity with tools like Apache Airflow or Temporal for managing workflows and scheduling jobs in distributed systems. Stream Processing: Experience with Apache Flink or More ❯

a comprehensive induction into our 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 to help you settle into the … learn. You’ll be supported and 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 by your team, we … ll provide the resources you need to grow. You’ll have access to learning and development opportunities tailored to your role, covering a wide range of software disciplines including front-end design, site reliability engineering, data engineering, solution architecture, machine learning operations, UX, Agile, cloud engineering, and security. We’ll even support formal qualifications with dedicated funding More ❯

Demonstrable leadership experience, with a track record of developing analysts. Strong academic background in a numerical discipline (eg BSc Mathematics, Computer Science, Data Science). Proficiency in statistical and machine learning techniques (eg logistic regression, clustering, GBMs) and the application of these in a commercial context. Advanced SQL skills with experience with Python and/or R. Solid … Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience deploying and maintaining of ML models in production environments. Exposure to A/B testing and campaign optimisation techniques. Knowledge of marketing mix modelling and marketing performance metrics. More ❯

and doing this alongside an experienced team. JOB PURPOSE We are looking for an AI Consultant who not only knows exactly how to create impact with algorithms, big data, machine learning, and generative AI, but can also translate our tech offerings to our current and future clients as well as our wider digital marketing teams internally. As an … parents. Social and Cultural Events, plenty of opportunities to connect with colleagues through organised activities and celebrations. Inspirational Talks, bringing the outside in with regular guest speakers and events. Learning and Development, supporting your growth with continuous opportunities to learn and advance. Buddy Programme: You will be paired with a 'Buddy' to help you through your first weeks' at More ❯

a comprehensive induction into our 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 to help you settle into the … learn. You'll be supported and 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 by your team, we … ll provide the resources you need to grow. You'll have access to learning and development opportunities tailored to your role, covering a wide range of software disciplines including front end design, site reliability engineering, data engineering, solution architecture, machine learning operations, UX, Agile, cloud engineering, and security. We'll even support formal qualifications with dedicated funding More ❯

AWS or Azure. Ability to work collaboratively in a fast-paced environment. Excellent problem-solving and communication skills. Desirable Skills & Experience Certification in Databricks or related technologies. Familiarity with machine learning and data analytics. Previous experience in data pipeline development. Knowledge of DevOps principles. Please note this role unfortunately is not able to accomodate visas & due to volume More ❯

design, development, and delivery of a scalable and robust data platform. You'll manage and mentor a team of data engineers, ensuring the platform supports business intelligence, analytics, and machine learning initiatives across the organisation.You'll work closely with product managers, data scientists, and senior stakeholders to translate business needs into technical solutions, while championing best practices in More ❯

initiatives and report progress to leadership. What You'll Bring Proven experience leading Master Data Management or Data Governance initiatives. Hands-on experience with Tamr or similar AI/ML-driven MDM tools. Strong understanding of data modelling, integration and data quality principles. Excellent communication and stakeholder management skills, with the ability to bridge business and technical domains. Experience designing More ❯

learn. Nice-to-Have Skills Database Knowledge: Experience with SQL Server or Oracle. Financial Domain: Working knowledge of the investment banking and finance sector. Analytics: Familiarity with Data Science , Machine Learning , and Statistics . Reporting Tools: Knowledge of Power BI . Project Management: The ability to work on multiple projects simultaneously. If you're ready to take the 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). LLM experience Strong problem-solving and collaboration skills. Ability to communicate technical concepts More ❯

and insight requirements for operations, finance, and commercial functions. A track record of shaping centralised reporting solutions from fragmented and siloed data sources. Desirable – but not essential: AI/ML and predictive analytics Knowledge of IoT data integration Familiarity with multiple ERP systems and complex data landscapes. This is an incredible opportunity to shape and build the data function in More ❯

function with a vision for smart, scalable prevention and detection. Translate regulation and risk into efficient, automated, and customer-focused controls. Partner with AI and technology teams to integrate machine learning, data analytics, and automation into onboarding, monitoring, and investigations. Deliver clear, strategic insights to executive and board-level forums. Drive consistent control ownership and assurance across all More ❯

Data Analyst role within 12 months of graduation, we’ll refund 100% of your fees. What You’ll Gain Hands-On Skills: Excel, SQL, Python, Power BI, Azure AI, Machine Learning Industry Certifications: CompTIA Data+, Microsoft Power BI (PL-300), Azure AI Fundamentals (AI-900) Real Projects: Work on real-world data challenges to showcase in your CV More ❯

Knowledge of gaming integrations, payments, and provider APIs Experience with fraud prevention, security controls, or compliance frameworks Familiarity with platform personalisation, data pipelines, or event-driven systems Exposure to machine learning, AI, or player analytics Ready to lead a high-performing engineering function and build modern gaming technology at scale? Please apply and Emma will be in touch More ❯

to solve; like processing tens of millions of meter readings a day. We need the right technology in place to handle this smoothly, and to feed data into a machine learning pipeline that models and predicts consumption. We may also adapt Kraken for other utilities such as water and broadband. There's a great opportunity for disruption in 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 ❯