1 to 25 of 111 Machine Learning Jobs in Lancashire

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 ❯

Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of our customers and the world. More ❯

that the interaction satisfies some criteria . Based on this, a subsequent event or alert would be triggered. We have dedicated people in the team that would develop any ML models that are required , so an expert level of Machine Learning is not essential, but a good understanding of what a model does, and how to run inference … the requirements for a new use case and work out suitable solutions to the problem. Work with the models part of the team to specify what new or changed ML models are required to provide the foundation of the solution Build on top of the developing model, additional logic to interpret, combine or otherwise enhance the information provided to the … successfully solves the problem, and work to deploy it in a real-life customer environment Qualifications: Essential Strong software engineering and programming skills in Python and ideally in an ML/CV environment ( Numpy , OpenCV) Experience with CI/CD systems , with a test-driven development approach In-depth k nowledg e of Linux operating systems Strong communication skills, both 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 ❯

career in Cloud Computing. Increased earning potential and job security. Flexible working opportunities within the industry. Platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. 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 ❯

in Cloud Computing. Increased earning potential and job security. Flexible working opportunities within the industry. A platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯

teams across the AI workflowfrom exploration and model development to deploying generative AI and machine learning pipelines. The ideal candidate will have strong Python skills, experience with ML frameworks (e.g., PyTorch, TensorFlow), and a background in training or fine-tuning models including LLMs. Familiarity with technologies like RAG, vector databases (e.g., Qdrant), and MLOps tools (e.g., DVC) is … and domain experts to align solutions with real-world needs. Ensure that AI solutions are responsible, ethical and align with governance standards. Stay informed on developments in AI and ML, particularly around generative AI, and evaluate their applicability within the organisation. Contribute to a culture of curiosity, experimentation and continuous learning within the team. Skills & Experience: You will have … the following skills or proven experience: Strong programming skills in Python and experience with AI/ML libraries (e.g. PyTorch, TensorFlow, HuggingFace Transformers) Experience training and/or fine-tuning machine learning models, ideally including LLMs or other deep learning architectures. Able to work collaboratively with Data Scientists, engineers and stakeholders in an agile environment. Experience with More ❯

annum based on experience Contract Type: Permanent About National Care Group National Care Group is one of the UK’s leading providers of adult social care, supporting people with learning disabilities, mental health support needs, acquired brain injuries, autistic people, and complex related needs. Its mission is to empower those it supports to lead their best life, enabling them … and regulations. • Document data processes, systems, and architecture for future reference and training. About you: • Experience with ETL tools. • Knowledge of data modelling and data architecture principles. • Familiarity with machine learning frameworks and tools. • Understanding of data governance and compliance standards. Don’t meet every single requirement?We invite you to apply anyway! At National Care Group, we More ❯

opportunities, and to collaborate with other Capgemini teams within Group. YOUR PROFILE Highly collaborative within cross-functional teams, able to coach peers, and drive team cohesion. Passion for continuous learning and a desire to develop expertise in workplace technologies. Bold and proactive at 'going the extra mile' to increase your impact within Capgemini, as entrepreneurial spirit is rewarded. Business … self-teaching, educational background, personal initiatives or projects delivered Understanding in AI solution development practice (including extended OOTB tools, custom agents, trained models) with some knowledge of AI models, learning patterns and applications. Understanding on how to ensure solutions comply with security standards and regulatory requirements. Some experience implementing security measures to protect data and maintain compliance. Some of … vector databases) for their applicability to keybusinesschallenges. Defining solution requirements via business analysis, collaborating with product and business teams to ensure prototypes are clearly linked to strategic goals. Experimenting Machine Learning design, development and deployment, using modern modelling techniques (e.g. CatBoost, XGBoost, RoBERTa), and leveraging both structured and unstructured data sources. Experimenting with the integration and fine-tuning More ❯

associated technologies Support the rollout of heating/cooling assets into energy flexibility markets What you'll need: Experience in a relevant field like energy management, controls design, or machine learning applied to energy or complex optimisation systems A strong grasp of data science tools and platforms (SQL, Python, etc.) Solid understanding of machine learning algorithms 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 ❯

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 ❯

a minimum of 1 day per week. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or 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 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 ❯

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 ❯

Microsoft Dynamics 365 applications using Forms, Native and Custom Entities, Plugins (C#), javascript, PowerAutomate, PowerBI, PowerApps, Azure functions, Azure Service bus, Azure Logic apps and third-party applications, Azure Machine Learning, and SSRS Reports. Develop solutions and utilise test-driven development to build features for those solutions (Jasmine, Mock, N-Unit). Ensure that all solutions are lightweight … to yourself or your community Cycle-to-work Scheme Future Planning Pension scheme with employer contributions Life Assurance - 3X base salary Rewards Program - access to discounts and cashback LinkedIn Learning License for upskilling & development Interested but don't feel you meet all the requirements? Our recruitment team assesses and reviews all applications against the role and business needs. We 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 ❯

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 ❯

your new role as a Data Scientist, you'll be involved in developing insights from complex datasets using Python, R, SQL. You will design and deploy innovative AI and machine learning solutions across varied projects that will challenge and grow your expertise. What you'll need to succeed To be successful in this role, you … will need to have previous experience in a similar role, knowledge and demonstrable experience of Python, R and SQL, an understanding of data product life cycles and AI/ML principles. A degree in a relevant field would be an advantage and possess excellent communication and consulting abilities. What you'll get in return Flexible working options are available, which More ❯

Process mapping workflows to enhance the core ITSM process of Incident, Problem, Change Management, and Request Fulfilment Identifying opportunities for new AI technologies and working with the AI/ML department on creating new or improving existing virtual agents, predictive analytics, and machine learning within the ITSM ecosystem Supporting ITSM workflow improvements through the proposal and development of … with some automation. The AI expertise is key here. Key skills and experience required: Experience with Virtual agent technology and creating complex prompts Experience working with wider AI/ML professionals on new AI Agent/RPA development Ideally you may have experience working with AI in ServiceNow, talkdesk or Genesys, or other Service management platforms Experience documenting processes and 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 ❯

front-end engineering skills (React, Angular, or Flutter; Node.js or Python for back-end). - Experience working with RESTful APIs, mock servers, or AI microservices. - Familiarity with AI/ML integration patterns (e.g., inference APIs, chatbot SDKs, GenAI plugins). - Strong grasp of data visualisation techniques (e.g., D3.js, Chart.js, or Power BI embedded). - Agile mindset with ability to iterate More ❯