1 to 25 of 35 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 ❯

Research Fellows and Postdocs in Probabilistic Machine Learning and Bayesian Inference Aug 11, 2021 Research Fellows and Postdocs in Probabilistic Machine Learning and Bayesian Inference I am looking for researchers to my new team in Manchester, UK, funded by the UKRI Turing AI World-Leading Researcher Fellowship programme "Human-AI Research Teams - Steering AI in Experimental … . Closing date of call: September 6, 2021. The research is fundamental research in probabilistic modelling and Bayesian inference, applied to the exciting problems of how do we steer machine learning systems. Particularly challenging is to steer when we cannot (yet) precisely specify our goal, and ultimately we would like to have machine learning systems that … link to the application portal: Because we are there Great university, with fluent collaboration with outstanding groups of application fields It is the place to be right now for machine learning. New Fundamental AI Research Centre with several new academics is being launched, on top of the already wide AI activity including Turing Institute partnership with 27 Turing Fellows More ❯

offices or at a client's site. How You'll Shape Our Success The purpose of this role is to advance clients' technical environments by designing and deploying innovative machine learning-based models and AI solutions that directly deliver measurable value for their organizations. What You'll Do Strong grasp of statistics and probability fundamentals Solid understanding … of machine learning algorithms for supervised and unsupervised learning Understanding of Transformer based models Experience developing AI agents Strong Python and SQL skills Experience with Cloud ML tools and version control (e.g. git) Experience with MLOps Collaborative, proactive, logical, methodical, and attentive to detail Excellent communication skills (verbal and written) Collaborate with clients to understand their business … problems and design technical solutions using machine learning models Develop and deploy machine learning models on Google Cloud Use version control and agile working practices Stay up-to-date with the latest developments in machine learning and bring new ideas to the team. What You'll Need to Succeed Demonstrates adeptness in persuasive communication 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

with a proactive, solutions-focused approach. A degree (Bachelor's or Master's) in Data Science, Statistics, Computer Science, Business Administration, or a related field. (Desirable) Experience within SaaS, machine learning, or AI environments. The Perks 25 Days Holiday, increasing 1 day per year with service (up to a maximum of 28) The option to buy up to … Escape Lounges and Airport Parking Rail and retail discounts 2 paid volunteering days per year Access to internal events calendar including regular health & wellbeing activities, ID&E initiatives and learning sessions Formal and informal development opportunities, including mentoring programmes and learning grants Enhanced parental leave (T&Cs apply) The Interview Process - Please note this may change 1️ Recruiter 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 ❯

of our data platform and machine learning ecosystem. This is a platform-focused role, deeply technical but not architectural, working across high-volume data pipelines and predictive ML models to improve data quality, scale, and performance. Key Responsibilities: Own the data product roadmap and define the vision for the data platform. Manage internal data projects with high customer … Key Requirements: 5-10 years of experience in data roles, with at least 3 years in Data Engineering or Data Science. Strong technical knowledge of large-scale data platforms, ML workflows, and analytics. Experience in SaaS, digital, or consumer tech product companies. Excellent communication and presentation skills, able to translate technical concepts to non-technical stakeholders. Product ownership mindset; not 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). Strong problem-solving and collaboration skills. Ability to communicate technical concepts clearly to 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 ❯

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 ❯

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 ❯

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 ❯

comprehensive course materials, that will equip students with an understanding of database systems, internet technologies, data, cyber security, networking, and business information systems. You will undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices. Responsibilities include: All aspects of planning, delivering, and assessing … student work, ensuring that all learning outcomes are met Developing, updating, and improving course materials as appropriate Using a variety of learning and teaching methods/materials Actively engaging in staff development activities, peer observations, meetings and other administrative duties Understanding and keeping up to date with latest developments in your field and student support practices Working towards … or more of the following areas: Programming and software development Web development Database systems Cloud computing Networking Cybersecurity IoT and emerging technologies Business IT systems IT management AI and Machine Learning Operating Systems UI/UX You will have experience supervising student work and providing support and feedback You will have experience of accurate reporting and ability to More ❯

comprehensive course materials, that will equip students with an understanding of database systems, internet technologies, data, cyber security, networking, and business information systems. You will undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices. Responsibilities include: All aspects of planning, delivering, and assessing … student work, ensuring that all learning outcomes are met Developing, updating, and improving course materials as appropriate Using a variety of learning and teaching methods/materials Actively engaging in staff development activities, peer observations, meetings and other administrative duties Understanding and keeping up to date with latest developments in your field and student support practices Working towards … or more of the following areas: Programming and software development Web development Database systems Cloud computing Networking Cybersecurity IoT and emerging technologies Business IT systems IT management AI and Machine Learning Operating Systems UI/UX You will have experience supervising student work and providing support and feedback You will have experience of accurate reporting and ability to More ❯

comprehensive course materials, that will equip students with an understanding of database systems, internet technologies, data, cyber security, networking, and business information systems. You will undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices. Responsibilities include: All aspects of planning, delivering, and assessing … student work, ensuring that all learning outcomes are met Developing, updating, and improving course materials as appropriate Using a variety of learning and teaching methods/materials Actively engaging in staff development activities, peer observations, meetings and other administrative duties Understanding and keeping up to date with latest developments in your field and student support practices Working towards … or more of the following areas: Programming and software development Web development Database systems Cloud computing Networking Cybersecurity IoT and emerging technologies Business IT systems IT management AI and Machine Learning Operating Systems UI/UX You will have experience supervising student work and providing support and feedback You will have experience of accurate reporting and ability to More ❯

from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ More ❯

from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ More ❯

policies etc Very good working experience in data related projects or applications Good working knowledge in Gitlab Good working knowledge in Python Good working knowledge in Data science and Machine Learning Good working knowledge in data management and data governance Good working experience in managing product owners and stakeholders Very good team player positive attitude and proactive Self More ❯

oversight, coaching, and technical challenge across engagements. Champion excellence and act as a role model for proactive, positive leadership. What You Bring Deep expertise across data platforms, AI/ML, cloud architectures, and analytics . Strategic mindset - able to connect technology to business vision. Strong problem-solving and design thinking skills. Exceptional communication - from boardroom to engineering team. Influential leadership More ❯