Data Scientist (ML Engineer) Location: Manchester Salary: £49,387 to £56,515 per annum Vacancy Type: Permanent, Full Time The closing date is 18 June 2026 Job summary Do you want to do meaningful work that makes a genuine difference to society? Our main purpose here at The National Institute for Health and Care Excellence (NICE) is to improve health and wellbeing by putting science and evidence at the heart of health and care decision-making. As an organisation we all collaborate to achieve this goal by empowering our workforce to do great things! Please note that this role may not be eligible for sponsorship under the Skilled Worker route. Please refer to the DirectGov website for more information on eligibility. We reserve the right to close the advert early should we receive sufficient applications, so please don't delay your submission. Main duties of the job We're looking for a Data Scientist (ML Engineer) to help NICE apply machine learning and advanced analytics to real world health and care challenges. Working within the Architecture & Data team, you'll design, build and deploy robust machine learning solutions that support evidence based decision making, improve data practices, and enable the responsible use of AI across the organisation. You'll combine strong technical expertise with clear communication, ethical awareness and a collaborative mindset to turn complex data into meaningful insight. What you'll do and bring to the role Design, build and deploy scalable machine learning models and pipelines, from data preparation through to monitoring and optimisation in production. Apply advanced analytical, statistical and machine learning techniques to solve complex business problems and support organisational priorities. Ensure all work meets high standards for data governance, ethics, privacy and security, championing responsible and transparent use of AI. Collaborate closely with data scientists, engineers and stakeholders to translate business needs into effective technical solutions. Evaluate model performance and outcomes, continuously improving models, data quality and analytical approaches. Contribute to building machine learning and AI capability across NICE through technical leadership, knowledge sharing, and support to colleagues. About us The Architecture & Data team sits at the heart of NICE's digital transformation, setting the direction for how data, analytics and architecture are used across the organisation. As a centre of excellence, the team defines standards, embeds strong data governance, and enables high-quality, impactful delivery. Working closely with teams across NICE, it supports responsible innovation and ensures data is used effectively to improve health and care outcomes. We can offer you a great place to work with good benefits, flexible working, and a supportive, friendly, and inclusive environment. We are passionate and proud of the work we do and the impact we make. NICE offer: Generous NHS Pension - Secure your future with one of the most rewarding pension schemes in the UK Flexible working - Enjoy a healthy work-life balance with options like remote working, compressed hours and flexible start/finish times Exclusive discounts - Save on shopping, dining and more with a Blue Light CardTime to recharge - Start with 27 days' annual leave plus bank holidays Inclusive staff networks - Join supportive communities like Women in NICE, Race Equality Network, Disability Advocacy and NICE and Proud - we celebrate diversity Tailored development - Grow your career with personalised learning and development opportunities Person Specification Holds highly developed specialist knowledge and expertise acquired through a master's degree level or equivalent qualification/experience. Additionally, holds specialist knowledge of the relevant area(s) of expertise as outlined in the person specification, acquired through relevant practical experience and training/development. Extensive hands on experience designing, building and deploying machine learning and AI solutions, with the ability to select appropriate techniques and evaluate model performance critically. Strong programming and data engineering capability, including writing complex code, working with large and complex datasets, and collaborating closely with data engineers and data scientists to deliver robust analytical products. Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision making. Excellent communication skills, with experience presenting analytical outputs clearly to both technical and non technical audiences and working effectively within multidisciplinary teams. Desirable Artificial intelligence certification. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. To Apply If you feel you are a suitable candidate and would like to work for NICE (The National Institute for Health and Care Excellence), please click apply to be redirected to their website to complete your application.
Jun 10, 2026
Full time
Data Scientist (ML Engineer) Location: Manchester Salary: £49,387 to £56,515 per annum Vacancy Type: Permanent, Full Time The closing date is 18 June 2026 Job summary Do you want to do meaningful work that makes a genuine difference to society? Our main purpose here at The National Institute for Health and Care Excellence (NICE) is to improve health and wellbeing by putting science and evidence at the heart of health and care decision-making. As an organisation we all collaborate to achieve this goal by empowering our workforce to do great things! Please note that this role may not be eligible for sponsorship under the Skilled Worker route. Please refer to the DirectGov website for more information on eligibility. We reserve the right to close the advert early should we receive sufficient applications, so please don't delay your submission. Main duties of the job We're looking for a Data Scientist (ML Engineer) to help NICE apply machine learning and advanced analytics to real world health and care challenges. Working within the Architecture & Data team, you'll design, build and deploy robust machine learning solutions that support evidence based decision making, improve data practices, and enable the responsible use of AI across the organisation. You'll combine strong technical expertise with clear communication, ethical awareness and a collaborative mindset to turn complex data into meaningful insight. What you'll do and bring to the role Design, build and deploy scalable machine learning models and pipelines, from data preparation through to monitoring and optimisation in production. Apply advanced analytical, statistical and machine learning techniques to solve complex business problems and support organisational priorities. Ensure all work meets high standards for data governance, ethics, privacy and security, championing responsible and transparent use of AI. Collaborate closely with data scientists, engineers and stakeholders to translate business needs into effective technical solutions. Evaluate model performance and outcomes, continuously improving models, data quality and analytical approaches. Contribute to building machine learning and AI capability across NICE through technical leadership, knowledge sharing, and support to colleagues. About us The Architecture & Data team sits at the heart of NICE's digital transformation, setting the direction for how data, analytics and architecture are used across the organisation. As a centre of excellence, the team defines standards, embeds strong data governance, and enables high-quality, impactful delivery. Working closely with teams across NICE, it supports responsible innovation and ensures data is used effectively to improve health and care outcomes. We can offer you a great place to work with good benefits, flexible working, and a supportive, friendly, and inclusive environment. We are passionate and proud of the work we do and the impact we make. NICE offer: Generous NHS Pension - Secure your future with one of the most rewarding pension schemes in the UK Flexible working - Enjoy a healthy work-life balance with options like remote working, compressed hours and flexible start/finish times Exclusive discounts - Save on shopping, dining and more with a Blue Light CardTime to recharge - Start with 27 days' annual leave plus bank holidays Inclusive staff networks - Join supportive communities like Women in NICE, Race Equality Network, Disability Advocacy and NICE and Proud - we celebrate diversity Tailored development - Grow your career with personalised learning and development opportunities Person Specification Holds highly developed specialist knowledge and expertise acquired through a master's degree level or equivalent qualification/experience. Additionally, holds specialist knowledge of the relevant area(s) of expertise as outlined in the person specification, acquired through relevant practical experience and training/development. Extensive hands on experience designing, building and deploying machine learning and AI solutions, with the ability to select appropriate techniques and evaluate model performance critically. Strong programming and data engineering capability, including writing complex code, working with large and complex datasets, and collaborating closely with data engineers and data scientists to deliver robust analytical products. Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision making. Excellent communication skills, with experience presenting analytical outputs clearly to both technical and non technical audiences and working effectively within multidisciplinary teams. Desirable Artificial intelligence certification. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. To Apply If you feel you are a suitable candidate and would like to work for NICE (The National Institute for Health and Care Excellence), please click apply to be redirected to their website to complete your application.
Lead DevOps Engineer (Hybrid - London) Location: London (Hybrid: 3 days per week on-site) Security Clearance Required: Active, live SC Clearance or DV Clearance (Mandatory) Position Type: Permanent CRITICAL REQUIREMENT - PLEASE READ BEFORE APPLYING: Due to the secure nature of the client's platform and infrastructure projects, this position strictly requires candidates to hold a currently active and live UK Security Clearance (SC or DV) . Candidates who do not currently possess this clearance, or whose clearance has lapsed, cannot be considered for this role. Please do not apply if you do not hold active SC or DV status. The Opportunity I am exclusively partnering with a pioneering, high-growth technology vendor specializing in secure, enterprise-level cloud platforms and AI-integrated software solutions. They engineer bespoke architectures that solve highly complex data, automation, and infrastructure challenges for specialized clients across secure sectors. As they expand their technical division, they are seeking a high-caliber Lead DevOps Engineer who can seamlessly balance technical architecture, strategic stakeholder alignment, and hands-on delivery. This is a dynamic, fast-paced role where you will play a pivotal part in scaling a modern DevSecOps function and fostering a high-performance engineering culture across their London hub. The Role & Responsibilities This position offers a fluid mix of team leadership, technical architecture, and hands-on systems engineering. Working on-site in London three days a week, you will lead an agile squad, driving continuous innovation and transforming complex customer requirements into resilient, secure platform solutions. Technical Vision & AI Delivery: Collaborate with senior engineering leadership to design and execute robust cloud infrastructure architectures, with a specific focus on deploying and scaling modern AI solutions. Team Leadership & Coaching: Act as a technical mentor and culture carrier, coaching a talented squad of engineers in modern DevSecOps best practices, automation, and continuous improvement. Client & Product Alignment: Interface directly with key clients and technical stakeholders to refine product definitions, troubleshoot complex platform issues, and ensure deliveries map directly to strategic goals. Architecture & API Integrity: Work alongside Product Managers and Delivery Leads to design clean, scalable microservices architectures utilizing open standards and robust API frameworks. Governance & Compliance: Maintain strict oversight of modern regulatory requirements, infrastructure compliance, and security frameworks to ensure total platform integrity. Pipeline & Resource Strategy: Actively evaluate the engineering roadmap to advise internal stakeholders on technical pipeline bottlenecks, risk mitigation, and optimal team resourcing levels. Requirements & Technical Expertise To be successful in this role, you must bring a blend of strong leadership capability, client-facing confidence, and deep technical breadth across modern cloud ecosystem toolchains. Essential Criteria: Clearance Status: A currently active and live UK SC or DV Clearance is non-negotiable. Technical Depth: Elite proficiency in managing and scaling cloud-native infrastructure, with deep expertise across AWS, Kubernetes, Docker, CI/CD pipelines, Git, and RESTful APIs. Leadership Track Record: Demonstrable experience operating in a Technical Lead, Infrastructure Architect, or Senior DevOps capacity-with the proven ability to build, scale, and mentor an engineering team. Agile & Start-Up Agility: A background thriving within fast-paced, high-growth, or start-up adjacent environments. You must be highly resilient to change and comfortable with fluid, reactive priorities. Hybrid Commute: The ability to work from the client's Central London office 3 days per week . Problem-Solving Mastery: Advanced troubleshooting capabilities with a pragmatic, solution-driven approach to mitigating risks across complex, secure deployments. Highly Desirable: Direct, hands-on experience deploying and running AI or Machine Learning workloads in a production environment. Holding an AWS Certified Solutions Architect (Associate or Professional) badge or an equivalent cloud certification. An entrepreneurial mindset with a natural inclination to challenge legacy prototypes and introduce alternative software methodologies. A relevant degree qualification in Computer Science, Software Engineering, or a related field. To Apply: If you hold a live, active SC or DV clearance , meet the technical criteria, and are comfortable with a 3-day-a-week London hybrid model, please apply with your CV today for an immediate, confidential briefing. Reminder: Applications without active UK national security clearance will be automatically rejected.
Jun 10, 2026
Full time
Lead DevOps Engineer (Hybrid - London) Location: London (Hybrid: 3 days per week on-site) Security Clearance Required: Active, live SC Clearance or DV Clearance (Mandatory) Position Type: Permanent CRITICAL REQUIREMENT - PLEASE READ BEFORE APPLYING: Due to the secure nature of the client's platform and infrastructure projects, this position strictly requires candidates to hold a currently active and live UK Security Clearance (SC or DV) . Candidates who do not currently possess this clearance, or whose clearance has lapsed, cannot be considered for this role. Please do not apply if you do not hold active SC or DV status. The Opportunity I am exclusively partnering with a pioneering, high-growth technology vendor specializing in secure, enterprise-level cloud platforms and AI-integrated software solutions. They engineer bespoke architectures that solve highly complex data, automation, and infrastructure challenges for specialized clients across secure sectors. As they expand their technical division, they are seeking a high-caliber Lead DevOps Engineer who can seamlessly balance technical architecture, strategic stakeholder alignment, and hands-on delivery. This is a dynamic, fast-paced role where you will play a pivotal part in scaling a modern DevSecOps function and fostering a high-performance engineering culture across their London hub. The Role & Responsibilities This position offers a fluid mix of team leadership, technical architecture, and hands-on systems engineering. Working on-site in London three days a week, you will lead an agile squad, driving continuous innovation and transforming complex customer requirements into resilient, secure platform solutions. Technical Vision & AI Delivery: Collaborate with senior engineering leadership to design and execute robust cloud infrastructure architectures, with a specific focus on deploying and scaling modern AI solutions. Team Leadership & Coaching: Act as a technical mentor and culture carrier, coaching a talented squad of engineers in modern DevSecOps best practices, automation, and continuous improvement. Client & Product Alignment: Interface directly with key clients and technical stakeholders to refine product definitions, troubleshoot complex platform issues, and ensure deliveries map directly to strategic goals. Architecture & API Integrity: Work alongside Product Managers and Delivery Leads to design clean, scalable microservices architectures utilizing open standards and robust API frameworks. Governance & Compliance: Maintain strict oversight of modern regulatory requirements, infrastructure compliance, and security frameworks to ensure total platform integrity. Pipeline & Resource Strategy: Actively evaluate the engineering roadmap to advise internal stakeholders on technical pipeline bottlenecks, risk mitigation, and optimal team resourcing levels. Requirements & Technical Expertise To be successful in this role, you must bring a blend of strong leadership capability, client-facing confidence, and deep technical breadth across modern cloud ecosystem toolchains. Essential Criteria: Clearance Status: A currently active and live UK SC or DV Clearance is non-negotiable. Technical Depth: Elite proficiency in managing and scaling cloud-native infrastructure, with deep expertise across AWS, Kubernetes, Docker, CI/CD pipelines, Git, and RESTful APIs. Leadership Track Record: Demonstrable experience operating in a Technical Lead, Infrastructure Architect, or Senior DevOps capacity-with the proven ability to build, scale, and mentor an engineering team. Agile & Start-Up Agility: A background thriving within fast-paced, high-growth, or start-up adjacent environments. You must be highly resilient to change and comfortable with fluid, reactive priorities. Hybrid Commute: The ability to work from the client's Central London office 3 days per week . Problem-Solving Mastery: Advanced troubleshooting capabilities with a pragmatic, solution-driven approach to mitigating risks across complex, secure deployments. Highly Desirable: Direct, hands-on experience deploying and running AI or Machine Learning workloads in a production environment. Holding an AWS Certified Solutions Architect (Associate or Professional) badge or an equivalent cloud certification. An entrepreneurial mindset with a natural inclination to challenge legacy prototypes and introduce alternative software methodologies. A relevant degree qualification in Computer Science, Software Engineering, or a related field. To Apply: If you hold a live, active SC or DV clearance , meet the technical criteria, and are comfortable with a 3-day-a-week London hybrid model, please apply with your CV today for an immediate, confidential briefing. Reminder: Applications without active UK national security clearance will be automatically rejected.
Senior Software Engineer West Midlands (Hybrid) 45,000 - 65,000 + Bonus + Private Medical + Excellent Benefits Build Technology That Makes a Difference Are you an experienced Software Engineer looking to work on technology with real-world impact? We're working with an innovative engineering and technology business whose products are used internationally across a range of safety, security and critical infrastructure environments. Combining intelligent software, advanced sensing technologies and machine learning, their solutions help organisations improve safety, efficiency and decision-making. Due to continued growth and investment in new product development, they are looking for a Senior Software Engineer to join their engineering team and contribute to the next generation of their technology platform. This is an opportunity to tackle genuinely interesting engineering challenges at the intersection of software, hardware and AI. The Role You'll take ownership of software development across a range of products, with a primary focus on Linux-based systems and Python development. Working closely with software engineers, data scientists and product specialists, you'll contribute to the design, development and deployment of innovative solutions used in demanding real-world environments. This is a highly hands-on role where you'll have significant influence over architecture, technical direction and engineering best practice. Key Responsibilities Develop robust software applications using Python and C++ Contribute to software architecture and technical design Build and maintain scalable Linux-based applications Work closely with data science teams to deploy machine learning models Conduct code reviews and mentor other engineers Develop and maintain automated testing frameworks Support CI/CD and release processes Collaborate with multidisciplinary engineering teams Drive software quality and engineering best practice What We're Looking For Essential Strong commercial Python development experience Experience developing software on Linux platforms Proven software engineering experience within a product development environment Experience with Git and CI/CD workflows Knowledge of automated testing methodologies Strong communication and collaboration skills Desirable C++ development experience Embedded Linux exposure Machine learning deployment experience MLOps experience NVIDIA Jetson experience Experience developing software that interfaces with hardware Experience within engineering, instrumentation, industrial technology or related product environments About You You'll be a technically strong engineer who enjoys solving complex problems and taking ownership of your work. You'll be comfortable collaborating across teams, contributing ideas and helping shape technical decisions. Whilst this is not a formal management role, we're particularly interested in individuals who can demonstrate leadership qualities and a desire to mentor others. Why Apply? Work on cutting-edge technology with real-world applications Join a growing and innovative engineering business Exposure to AI, machine learning and intelligent systems Significant technical ownership and influence Collaborative and highly skilled engineering team Long-term career progression opportunities Diverse and challenging technical projects If you're a Software Engineer looking to work on innovative products that combine software, hardware and intelligent systems, we'd love to hear from you. Apply now for immediate consideration.
Jun 10, 2026
Full time
Senior Software Engineer West Midlands (Hybrid) 45,000 - 65,000 + Bonus + Private Medical + Excellent Benefits Build Technology That Makes a Difference Are you an experienced Software Engineer looking to work on technology with real-world impact? We're working with an innovative engineering and technology business whose products are used internationally across a range of safety, security and critical infrastructure environments. Combining intelligent software, advanced sensing technologies and machine learning, their solutions help organisations improve safety, efficiency and decision-making. Due to continued growth and investment in new product development, they are looking for a Senior Software Engineer to join their engineering team and contribute to the next generation of their technology platform. This is an opportunity to tackle genuinely interesting engineering challenges at the intersection of software, hardware and AI. The Role You'll take ownership of software development across a range of products, with a primary focus on Linux-based systems and Python development. Working closely with software engineers, data scientists and product specialists, you'll contribute to the design, development and deployment of innovative solutions used in demanding real-world environments. This is a highly hands-on role where you'll have significant influence over architecture, technical direction and engineering best practice. Key Responsibilities Develop robust software applications using Python and C++ Contribute to software architecture and technical design Build and maintain scalable Linux-based applications Work closely with data science teams to deploy machine learning models Conduct code reviews and mentor other engineers Develop and maintain automated testing frameworks Support CI/CD and release processes Collaborate with multidisciplinary engineering teams Drive software quality and engineering best practice What We're Looking For Essential Strong commercial Python development experience Experience developing software on Linux platforms Proven software engineering experience within a product development environment Experience with Git and CI/CD workflows Knowledge of automated testing methodologies Strong communication and collaboration skills Desirable C++ development experience Embedded Linux exposure Machine learning deployment experience MLOps experience NVIDIA Jetson experience Experience developing software that interfaces with hardware Experience within engineering, instrumentation, industrial technology or related product environments About You You'll be a technically strong engineer who enjoys solving complex problems and taking ownership of your work. You'll be comfortable collaborating across teams, contributing ideas and helping shape technical decisions. Whilst this is not a formal management role, we're particularly interested in individuals who can demonstrate leadership qualities and a desire to mentor others. Why Apply? Work on cutting-edge technology with real-world applications Join a growing and innovative engineering business Exposure to AI, machine learning and intelligent systems Significant technical ownership and influence Collaborative and highly skilled engineering team Long-term career progression opportunities Diverse and challenging technical projects If you're a Software Engineer looking to work on innovative products that combine software, hardware and intelligent systems, we'd love to hear from you. Apply now for immediate consideration.
Product Manager (AI & Workflow) - Near Edinburgh (Hybrid) - 90K plus Bonus Having placed a number of people into their teams ourselves, Lorien's long standing client based near Edinburgh - a leader in their industry with a growing and consistently award-winning product line making a huge difference around the globe - have asked us to help them in their searches for a Product Manager to lead the strategy, development and delivery of AI-enabled diagnostic software and workflow solutions. This is a senior individual contributor role with broad ownership across the product lifecycle, from shaping roadmap priorities through to launch readiness and continuous improvement. The successful candidate will work closely with technical, clinical, quality and commercial teams to turn market and user needs into well-defined product requirements. The role suits someone who can balance customer value, technical feasibility and regulatory expectations in a highly regulated software environment. Role outline Define and maintain the roadmap for AI and workflow products, ensuring alignment with business goals and customer needs. Translate market insight, clinical feedback and user requirements into clear product plans and specifications. Lead product planning across scope, priorities, milestones, dependencies and release activity. Coordinate cross-functional teams including software, data, clinical, quality, regulatory, security, service and commercial stakeholders. Own backlog priorities and support release governance, readiness decisions and change control activity. Drive risk management across product delivery, including performance, compliance, cybersecurity, privacy and continuity considerations. Support clinical evidence planning and regulatory submissions by ensuring product inputs and documentation are complete and fit for purpose. Contribute to data governance activities relating to model development, monitoring and product performance. Support business case development, budgeting and commercial planning for software and subscription-based offerings. Help shape product positioning, internal communication and go-to-market readiness for new releases and enhancements. Use customer feedback and post-release insight to improve usability, efficiency and workflow integration. Lead stakeholder discussions, ensuring decisions, actions and risks are clearly captured and progressed. What they're looking for Equivalent tenure and/or degree in a technical/scientific or business-related discipline; and ideally an advanced qualification in biomedical/computer science/data science/similar. Good grasp of AI and Machine Learning concepts, including datasets, validation, performance measures, monitoring and risk considerations. Previous track record of product management / Project Management within AI, MedTech oriented software/diagnostics/digital health and/or workflow oriented software products. Strong understanding of Software as a Medical Device or other regulated healthcare software environments. Experience working with cross-functional teams in complex product settings and influencing senior stakeholders. Knowledge of clinical evidence generation and regulated development standards (ISO / IEC). Familiarity with interoperability and workflow integration, such as DICOM, HL7, FHIR, PACS or EHR-linked environments. Understanding of Cloud or Software as a Service based product delivery models. Comfort working in a fast-paced setting where product decisions require both strategic thinking and hands-on delivery focus. This is a strong opportunity for a product management professional who wants to influence the direction of AI-led software in a role that combines strategy, delivery and stakeholder leadership. If you enjoy working at the intersection of innovation, regulated software and value, this position offers real scope to make an impact. Apply now with your latest CV for immediate consideration. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Jun 10, 2026
Full time
Product Manager (AI & Workflow) - Near Edinburgh (Hybrid) - 90K plus Bonus Having placed a number of people into their teams ourselves, Lorien's long standing client based near Edinburgh - a leader in their industry with a growing and consistently award-winning product line making a huge difference around the globe - have asked us to help them in their searches for a Product Manager to lead the strategy, development and delivery of AI-enabled diagnostic software and workflow solutions. This is a senior individual contributor role with broad ownership across the product lifecycle, from shaping roadmap priorities through to launch readiness and continuous improvement. The successful candidate will work closely with technical, clinical, quality and commercial teams to turn market and user needs into well-defined product requirements. The role suits someone who can balance customer value, technical feasibility and regulatory expectations in a highly regulated software environment. Role outline Define and maintain the roadmap for AI and workflow products, ensuring alignment with business goals and customer needs. Translate market insight, clinical feedback and user requirements into clear product plans and specifications. Lead product planning across scope, priorities, milestones, dependencies and release activity. Coordinate cross-functional teams including software, data, clinical, quality, regulatory, security, service and commercial stakeholders. Own backlog priorities and support release governance, readiness decisions and change control activity. Drive risk management across product delivery, including performance, compliance, cybersecurity, privacy and continuity considerations. Support clinical evidence planning and regulatory submissions by ensuring product inputs and documentation are complete and fit for purpose. Contribute to data governance activities relating to model development, monitoring and product performance. Support business case development, budgeting and commercial planning for software and subscription-based offerings. Help shape product positioning, internal communication and go-to-market readiness for new releases and enhancements. Use customer feedback and post-release insight to improve usability, efficiency and workflow integration. Lead stakeholder discussions, ensuring decisions, actions and risks are clearly captured and progressed. What they're looking for Equivalent tenure and/or degree in a technical/scientific or business-related discipline; and ideally an advanced qualification in biomedical/computer science/data science/similar. Good grasp of AI and Machine Learning concepts, including datasets, validation, performance measures, monitoring and risk considerations. Previous track record of product management / Project Management within AI, MedTech oriented software/diagnostics/digital health and/or workflow oriented software products. Strong understanding of Software as a Medical Device or other regulated healthcare software environments. Experience working with cross-functional teams in complex product settings and influencing senior stakeholders. Knowledge of clinical evidence generation and regulated development standards (ISO / IEC). Familiarity with interoperability and workflow integration, such as DICOM, HL7, FHIR, PACS or EHR-linked environments. Understanding of Cloud or Software as a Service based product delivery models. Comfort working in a fast-paced setting where product decisions require both strategic thinking and hands-on delivery focus. This is a strong opportunity for a product management professional who wants to influence the direction of AI-led software in a role that combines strategy, delivery and stakeholder leadership. If you enjoy working at the intersection of innovation, regulated software and value, this position offers real scope to make an impact. Apply now with your latest CV for immediate consideration. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Senior AI Engineer Manchester A growing technology-led business is seeking a Senior AI Engineer to play a pivotal role in shaping and delivering its AI strategy. This is a senior-level, hands-on position responsible for designing, building, and deploying enterprise-grade AI solutions that drive measurable business value across the organisation. Working closely with IT, Data, Engineering, and senior business stakeholders, you will lead the development and implementation of advanced AI solutions, leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Machine Learning, and Azure AI services. You will provide technical leadership, establish best practices, and help build the organisation s long-term AI capability. The business is investing heavily in AI and is looking for someone who can combine deep technical expertise with strategic thinking, taking solutions from concept through to production deployment and adoption. The ideal candidate will have a strong foundation in AI Engineering combined with a robust Data Science background, enabling them to develop, evaluate, and optimise AI solutions that deliver measurable business outcomes. This role would suit an experienced AI professional who enjoys solving complex business challenges, mentoring others, influencing technical direction, and delivering innovative AI solutions at scale. Role Purpose As a Senior AI Engineer, you will lead the design, development, deployment, and optimisation of enterprise AI solutions, ensuring they are secure, scalable, maintainable, and aligned to business objectives. You will act as a subject matter expert for AI technologies, helping to define architecture, establish standards, and guide the organisation s AI roadmap while remaining hands-on with implementation. Key Responsibilities Design, develop, and deploy advanced AI and Machine Learning solutions to solve complex business challenges. Lead the architecture and implementation of production-grade AI applications using LLMs, RAG pipelines, AI Agents, and Azure AI services. Provide technical leadership across AI initiatives, ensuring solutions follow best practices for scalability, security, performance, and governance. Own the full AI development lifecycle, from discovery and proof-of-concept through to production deployment and business adoption. Develop and optimise AI models, prompt engineering frameworks, vector databases, and retrieval systems. Design and implement AI agent architectures, workflow automation, and API integrations. Collaborate with Infrastructure and Engineering teams to deploy AI solutions securely within enterprise environments. Ensure solutions leverage Private Endpoints, secure networking, identity management, and enterprise-grade governance controls. Establish monitoring, evaluation, and observability frameworks for AI systems, including hallucination detection, model drift monitoring, performance tracking, and cost optimisation. Partner with operational and commercial stakeholders to identify high-value AI opportunities and define business cases. Measure and report on AI project outcomes, including efficiency gains, automation benefits, cost savings, and customer experience improvements. Mentor and support other technical team members, promoting AI best practices and knowledge sharing across the organisation. Contribute to the development of the organisation s AI strategy, roadmap, and future capability. Required Experience Essential Significant commercial experience in AI Engineering, Machine Learning Engineering, Applied AI, or Data Science roles. Expert-level Python development skills and deep experience with modern AI/ML frameworks and SDKs. Proven experience designing and deploying production-grade RAG solutions and LLM-powered applications. Strong experience building and deploying AI agents, orchestration frameworks, and automated workflows. Experience with Azure AI Services, Azure OpenAI, Azure Machine Learning, or equivalent enterprise AI platforms. Strong understanding of enterprise cloud architecture, including VNets, Entra ID, API Gateways, networking, and secure integrations. Experience deploying and managing AI workloads within production environments. Strong SQL and data engineering skills, working with both structured and unstructured datasets. Ability to translate complex datasets into actionable insights and AI-driven business solutions. Experience implementing AI governance, security, monitoring, and operational best practices. Excellent communication, leadership, stakeholder management, and problem-solving skills. Highly Desirable Strong Data Science background, with experience in statistical modelling, predictive analytics, feature engineering, experimentation, and model evaluation. Experience applying Data Science methodologies to solve complex business problems and identify opportunities for AI adoption. Experience with GenAIOps, LLMOps, MLOps, and AI observability platforms. Exposure to Computer Vision, OCR, Voice AI, Conversational AI, or multimodal AI solutions. Experience working within operational, retail, automotive, logistics, or customer-centric organisations. Knowledge of Responsible AI, AI governance frameworks, and regulatory considerations. Previous experience leading AI initiatives, mentoring engineers, or helping define AI strategy and roadmap. Experience building or contributing to an AI Centre of Excellence or internal AI capability function. What We're Looking For We're looking for someone who combines deep technical expertise with commercial awareness and a pragmatic approach to AI delivery. You'll be comfortable operating at both strategic and hands-on levels, engaging with senior stakeholders while also designing, developing, and deploying solutions yourself. You should be passionate about emerging AI technologies and have a track record of turning innovative ideas into production-ready solutions that create measurable business value. Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangement 3 days in the office / 2 days remote Opportunity to lead and shape enterprise AI capability Exposure to high-profile AI transformation initiatives Strong long-term career progression opportunities Ongoing investment in training, certifications, and professional development Interested? If you're an experienced AI Engineer or Data Science professional looking to take ownership of impactful AI initiatives and help shape the future direction of AI within a growing organisation, we'd love to hear from you. Apply now for the Senior AI Engineer opportunity in Manchester. Senior AI Engineer Manchester
Jun 10, 2026
Full time
Senior AI Engineer Manchester A growing technology-led business is seeking a Senior AI Engineer to play a pivotal role in shaping and delivering its AI strategy. This is a senior-level, hands-on position responsible for designing, building, and deploying enterprise-grade AI solutions that drive measurable business value across the organisation. Working closely with IT, Data, Engineering, and senior business stakeholders, you will lead the development and implementation of advanced AI solutions, leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Machine Learning, and Azure AI services. You will provide technical leadership, establish best practices, and help build the organisation s long-term AI capability. The business is investing heavily in AI and is looking for someone who can combine deep technical expertise with strategic thinking, taking solutions from concept through to production deployment and adoption. The ideal candidate will have a strong foundation in AI Engineering combined with a robust Data Science background, enabling them to develop, evaluate, and optimise AI solutions that deliver measurable business outcomes. This role would suit an experienced AI professional who enjoys solving complex business challenges, mentoring others, influencing technical direction, and delivering innovative AI solutions at scale. Role Purpose As a Senior AI Engineer, you will lead the design, development, deployment, and optimisation of enterprise AI solutions, ensuring they are secure, scalable, maintainable, and aligned to business objectives. You will act as a subject matter expert for AI technologies, helping to define architecture, establish standards, and guide the organisation s AI roadmap while remaining hands-on with implementation. Key Responsibilities Design, develop, and deploy advanced AI and Machine Learning solutions to solve complex business challenges. Lead the architecture and implementation of production-grade AI applications using LLMs, RAG pipelines, AI Agents, and Azure AI services. Provide technical leadership across AI initiatives, ensuring solutions follow best practices for scalability, security, performance, and governance. Own the full AI development lifecycle, from discovery and proof-of-concept through to production deployment and business adoption. Develop and optimise AI models, prompt engineering frameworks, vector databases, and retrieval systems. Design and implement AI agent architectures, workflow automation, and API integrations. Collaborate with Infrastructure and Engineering teams to deploy AI solutions securely within enterprise environments. Ensure solutions leverage Private Endpoints, secure networking, identity management, and enterprise-grade governance controls. Establish monitoring, evaluation, and observability frameworks for AI systems, including hallucination detection, model drift monitoring, performance tracking, and cost optimisation. Partner with operational and commercial stakeholders to identify high-value AI opportunities and define business cases. Measure and report on AI project outcomes, including efficiency gains, automation benefits, cost savings, and customer experience improvements. Mentor and support other technical team members, promoting AI best practices and knowledge sharing across the organisation. Contribute to the development of the organisation s AI strategy, roadmap, and future capability. Required Experience Essential Significant commercial experience in AI Engineering, Machine Learning Engineering, Applied AI, or Data Science roles. Expert-level Python development skills and deep experience with modern AI/ML frameworks and SDKs. Proven experience designing and deploying production-grade RAG solutions and LLM-powered applications. Strong experience building and deploying AI agents, orchestration frameworks, and automated workflows. Experience with Azure AI Services, Azure OpenAI, Azure Machine Learning, or equivalent enterprise AI platforms. Strong understanding of enterprise cloud architecture, including VNets, Entra ID, API Gateways, networking, and secure integrations. Experience deploying and managing AI workloads within production environments. Strong SQL and data engineering skills, working with both structured and unstructured datasets. Ability to translate complex datasets into actionable insights and AI-driven business solutions. Experience implementing AI governance, security, monitoring, and operational best practices. Excellent communication, leadership, stakeholder management, and problem-solving skills. Highly Desirable Strong Data Science background, with experience in statistical modelling, predictive analytics, feature engineering, experimentation, and model evaluation. Experience applying Data Science methodologies to solve complex business problems and identify opportunities for AI adoption. Experience with GenAIOps, LLMOps, MLOps, and AI observability platforms. Exposure to Computer Vision, OCR, Voice AI, Conversational AI, or multimodal AI solutions. Experience working within operational, retail, automotive, logistics, or customer-centric organisations. Knowledge of Responsible AI, AI governance frameworks, and regulatory considerations. Previous experience leading AI initiatives, mentoring engineers, or helping define AI strategy and roadmap. Experience building or contributing to an AI Centre of Excellence or internal AI capability function. What We're Looking For We're looking for someone who combines deep technical expertise with commercial awareness and a pragmatic approach to AI delivery. You'll be comfortable operating at both strategic and hands-on levels, engaging with senior stakeholders while also designing, developing, and deploying solutions yourself. You should be passionate about emerging AI technologies and have a track record of turning innovative ideas into production-ready solutions that create measurable business value. Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangement 3 days in the office / 2 days remote Opportunity to lead and shape enterprise AI capability Exposure to high-profile AI transformation initiatives Strong long-term career progression opportunities Ongoing investment in training, certifications, and professional development Interested? If you're an experienced AI Engineer or Data Science professional looking to take ownership of impactful AI initiatives and help shape the future direction of AI within a growing organisation, we'd love to hear from you. Apply now for the Senior AI Engineer opportunity in Manchester. Senior AI Engineer Manchester
Pricing Data Scientist Protection Insurance Location: Fully Remote (optional offices in Brighton or Cambridgeshire) Contract: 12-Month Fixed-Term Contract - very likely to go permanent afterwards Salary: Up to £60k The Role Joining a well-established Protection Insurance provider, you'll play a key role in shaping pricing strategy through advanced analytics, machine learning and predictive modelling. This is a highly commercial role, sitting at the intersection of Data Science, Pricing and Insurance. You'll design and deploy models that influence trading performance, customer outcomes and strategic decision-making across a range of protection products. The business is open to both Pricing Data Scientists and candidates with an Actuarial background, making this an excellent opportunity for someone looking to apply advanced modelling techniques to real-world commercial challenges. Key Responsibilities Build and deploy pricing, demand, lapse, cross-sell and optimisation models Lead strategic pricing initiatives and deliver tactical solutions to support business performance Partner with Product, Protection and Distribution teams to drive pricing improvements Apply machine learning and statistical techniques to solve complex business problems Communicate technical insights to both technical and non-technical stakeholders Key Requirements Experience within Insurance Pricing Strong Machine Learning and predictive modelling experience Python skills Strong statistical and mathematical knowledge (GLMs, regression, hypothesis testing, time-series etc.) Understanding of customer behaviour, pricing elasticity and price optimisation Protection Insurance experience preferred (Term Assurance, Critical Illness or Income Protection) Strong communication and stakeholder management skills No sponsorship available. Get in touch for more details - (see below) McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
Jun 10, 2026
Pricing Data Scientist Protection Insurance Location: Fully Remote (optional offices in Brighton or Cambridgeshire) Contract: 12-Month Fixed-Term Contract - very likely to go permanent afterwards Salary: Up to £60k The Role Joining a well-established Protection Insurance provider, you'll play a key role in shaping pricing strategy through advanced analytics, machine learning and predictive modelling. This is a highly commercial role, sitting at the intersection of Data Science, Pricing and Insurance. You'll design and deploy models that influence trading performance, customer outcomes and strategic decision-making across a range of protection products. The business is open to both Pricing Data Scientists and candidates with an Actuarial background, making this an excellent opportunity for someone looking to apply advanced modelling techniques to real-world commercial challenges. Key Responsibilities Build and deploy pricing, demand, lapse, cross-sell and optimisation models Lead strategic pricing initiatives and deliver tactical solutions to support business performance Partner with Product, Protection and Distribution teams to drive pricing improvements Apply machine learning and statistical techniques to solve complex business problems Communicate technical insights to both technical and non-technical stakeholders Key Requirements Experience within Insurance Pricing Strong Machine Learning and predictive modelling experience Python skills Strong statistical and mathematical knowledge (GLMs, regression, hypothesis testing, time-series etc.) Understanding of customer behaviour, pricing elasticity and price optimisation Protection Insurance experience preferred (Term Assurance, Critical Illness or Income Protection) Strong communication and stakeholder management skills No sponsorship available. Get in touch for more details - (see below) McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
LEAD INFORMATION Job Title Sewing Machinist Site location Wrexham Industrial Estate Responsible to Production Manager Purpose of the role - Assisting site in the production of high-quality fabric coverings for multiple industries around the globe. Client brief - Our client is a world leading producer of equipment with sites all over the world with their flagship UK Operation offering excellent based on the Wrexham Industrial Estate offering excellent on site facilities and further training in a supportive and friendly atmosphere. KEY INFORMATION Reason for vacancy - Increased demand Contract - Full time temp to perm Hourly Rate - £13.05ph Shifts - Mon to Thurs 6am -16:15pm Holidays - Permanent- 21 + Bank holidays, Agency - Accrual Facilities - Site is a very clean and professional environment, very well kept, canteen and onsite parking, also with excellent public transport links to site Benefits - Casual dress OR uniform provided, company pension (Permanent), flexible working hours for interested parties, employee assistance programmes and overtime/additional hours. RESPONSIBILITIES The role - Our client is looking for Sewing Machinists to join their existing sewing department team in their UK head offices on Wrexham Industrial Estate. The Sewing Machinist department assist site in the production of high-quality seating systems for multiple industries around the globe. Although experience and knowledge of using industrial sewing machines (flatbed / twin needle / overlock) and working with different materials such as leather and moquette is ideal, any previous Sewing Machinist experience is considered inclusive of experience at home or an interest in learning the trade. KEY SKILLS REQUIRED Experience operating industrial sewing machines either in a work or home life environment Essential Knowledge of sewing techniques for a wide variety of products and styles Desired but not essential. An eye for detail and a commitment to maintaining high quality standards in your work. Serply Recruitment Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. We are committed to equal opportunity and diversity.
Jun 10, 2026
Full time
LEAD INFORMATION Job Title Sewing Machinist Site location Wrexham Industrial Estate Responsible to Production Manager Purpose of the role - Assisting site in the production of high-quality fabric coverings for multiple industries around the globe. Client brief - Our client is a world leading producer of equipment with sites all over the world with their flagship UK Operation offering excellent based on the Wrexham Industrial Estate offering excellent on site facilities and further training in a supportive and friendly atmosphere. KEY INFORMATION Reason for vacancy - Increased demand Contract - Full time temp to perm Hourly Rate - £13.05ph Shifts - Mon to Thurs 6am -16:15pm Holidays - Permanent- 21 + Bank holidays, Agency - Accrual Facilities - Site is a very clean and professional environment, very well kept, canteen and onsite parking, also with excellent public transport links to site Benefits - Casual dress OR uniform provided, company pension (Permanent), flexible working hours for interested parties, employee assistance programmes and overtime/additional hours. RESPONSIBILITIES The role - Our client is looking for Sewing Machinists to join their existing sewing department team in their UK head offices on Wrexham Industrial Estate. The Sewing Machinist department assist site in the production of high-quality seating systems for multiple industries around the globe. Although experience and knowledge of using industrial sewing machines (flatbed / twin needle / overlock) and working with different materials such as leather and moquette is ideal, any previous Sewing Machinist experience is considered inclusive of experience at home or an interest in learning the trade. KEY SKILLS REQUIRED Experience operating industrial sewing machines either in a work or home life environment Essential Knowledge of sewing techniques for a wide variety of products and styles Desired but not essential. An eye for detail and a commitment to maintaining high quality standards in your work. Serply Recruitment Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. We are committed to equal opportunity and diversity.
Job Title : Lead Pricing Analyst- Strategic Target Start Date: ASAP Contract Type: Permanent Salary Range: Circa £70,000 Location: London / Eastleigh, hybrid - once a month office attendance Lead Pricing Analyst - Strategic: The Strategic Lead Pricing Analyst plays a crucial role in shaping the company's long-term market position and profitability through advanced analytics, market research and strategic recommendations. This role involves leading and reviewing detailed data analysis using sophisticated actuarial and statistical techniques to inform pricing actions aimed at increasing volume, income, and profit. The resulting pricing actions will have a direct and immediate impact on the future profitability and growth of the business, with key targets to increase conversion, retention, and achieve target loss ratios. Additionally, the analyst conducts in-depth market research, utilises advanced analytics, provides strategic recommendations to senior management, enhances risk models with new data insights, collaborates across product lines, and engages in dynamic, project-based work. Main Responsibilities as Lead Pricing Analyst - Strategic: Predictive Model Development: Lead the creation, validation, and review of predictive models, including machine learning models, and recommend their use in risk pricing. Data Accuracy: Ensure the accuracy and appropriateness of data used for modelling, pricing, and monitoring. Data Assessment: Evaluate new internal and external data to enhance risk pricing, build cost-benefit analyses, and present findings to stakeholders. Collaborate with pricing and implementation teams to deploy new data. Tender Support: Provide risk pricing support for tender responses, working closely with Distribution and Underwriting teams. Pricing Analysis: Conduct and lead pricing analyses, prepare options for senior stakeholders, and clearly present findings to gain their buy-in. Coordinate rate deployment as needed. Monitoring Dashboards: Develop and lead the creation of monitoring dashboards that meet business needs. Project Management: Execute, develop, and manage projects across all stages of the price control cycle. Team Influence: Inform and influence peers within the team and across Ageas. Strategic Initiatives: Work with underwriting and pricing teams to deliver on strategic initiatives. Market Trends: Identify and monitor market trends that could impact the pricing and underwriting of products. Skills and experience you need as Lead Pricing Analyst - Strategic: A good quantitative degree in Statistics, Mathematics or Actuarial Science. Experience in a relevant role in a data-driven environment. Knowledge of Home insurance products is essential. Experience of using statistics to explore and validate data, extract and manipulate large datasets for analysis. Experienced in the use of a programming language (SAS, R, Python) and/or statistical packages. Experience in SOME of the following predictive modelling techniques e.g. Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines and Neural Nets. At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK.Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Yoga, Mindfulness. Supporting your Wealth- Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, yoga, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to
Jun 10, 2026
Full time
Job Title : Lead Pricing Analyst- Strategic Target Start Date: ASAP Contract Type: Permanent Salary Range: Circa £70,000 Location: London / Eastleigh, hybrid - once a month office attendance Lead Pricing Analyst - Strategic: The Strategic Lead Pricing Analyst plays a crucial role in shaping the company's long-term market position and profitability through advanced analytics, market research and strategic recommendations. This role involves leading and reviewing detailed data analysis using sophisticated actuarial and statistical techniques to inform pricing actions aimed at increasing volume, income, and profit. The resulting pricing actions will have a direct and immediate impact on the future profitability and growth of the business, with key targets to increase conversion, retention, and achieve target loss ratios. Additionally, the analyst conducts in-depth market research, utilises advanced analytics, provides strategic recommendations to senior management, enhances risk models with new data insights, collaborates across product lines, and engages in dynamic, project-based work. Main Responsibilities as Lead Pricing Analyst - Strategic: Predictive Model Development: Lead the creation, validation, and review of predictive models, including machine learning models, and recommend their use in risk pricing. Data Accuracy: Ensure the accuracy and appropriateness of data used for modelling, pricing, and monitoring. Data Assessment: Evaluate new internal and external data to enhance risk pricing, build cost-benefit analyses, and present findings to stakeholders. Collaborate with pricing and implementation teams to deploy new data. Tender Support: Provide risk pricing support for tender responses, working closely with Distribution and Underwriting teams. Pricing Analysis: Conduct and lead pricing analyses, prepare options for senior stakeholders, and clearly present findings to gain their buy-in. Coordinate rate deployment as needed. Monitoring Dashboards: Develop and lead the creation of monitoring dashboards that meet business needs. Project Management: Execute, develop, and manage projects across all stages of the price control cycle. Team Influence: Inform and influence peers within the team and across Ageas. Strategic Initiatives: Work with underwriting and pricing teams to deliver on strategic initiatives. Market Trends: Identify and monitor market trends that could impact the pricing and underwriting of products. Skills and experience you need as Lead Pricing Analyst - Strategic: A good quantitative degree in Statistics, Mathematics or Actuarial Science. Experience in a relevant role in a data-driven environment. Knowledge of Home insurance products is essential. Experience of using statistics to explore and validate data, extract and manipulate large datasets for analysis. Experienced in the use of a programming language (SAS, R, Python) and/or statistical packages. Experience in SOME of the following predictive modelling techniques e.g. Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines and Neural Nets. At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK.Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Yoga, Mindfulness. Supporting your Wealth- Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, yoga, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to
Job title: Senior Generative AI Architect Location: London, UK Work mode: Hybrid - 3 days weekly from office Skills: AI/ML architecture; AI frameworks; AI models & solutions; cloud platforms (eg, AWS, Azure, Google Cloud) and programming languages such as Python, Java, or C++. We have partnered with Coforge and are looking for Senior Generative AI Architect in London, UK. Job Description : The Senior Generative AI Architect will be responsible for designing, developing, and implementing generative AI solutions that align with the company's strategic objectives. This role involves leading the architecture and deployment of advanced AI models, ensuring scalability, security, and ethical considerations are integrated into all AI initiatives. The ideal candidate will possess deep expertise in generative AI technologies, a strong understanding of AI ethics, and the ability to collaborate effectively with cross-functional teams. Key Responsibilities : Architecture Design: Develop and maintain the architectural framework for generative AI solutions, ensuring alignment with business goals and technical standards. Model Development: Lead the design, training, and deployment of generative AI models (eg, GPT, DALL-E, Stable Diffusion) tailored to various applications such as content generation, data synthesis, and automation. Integration: Collaborate with software engineering teams to integrate generative AI capabilities into existing systems and workflows. Scalability & Performance: Ensure AI solutions are scalable, efficient, and optimized for performance across different platforms and environments. Ethical AI Practices: Implement and enforce ethical guidelines for AI development and deployment, addressing issues such as bias, fairness, and transparency. Research & Innovation: Stay abreast of the latest advancements in generative AI and related fields, incorporating new techniques and tools into the company's AI strategy. Collaboration: Work closely with data scientists, engineers, product managers, and other stakeholders to identify opportunities for AI-driven solutions and ensure successful project delivery. Documentation & Standards: Create comprehensive documentation for AI architectures, processes, and best practices. Establish and maintain coding and architectural standards. Experience: Minimum of 7 years of experience in AI/ML architecture or a related role. Proven experience in designing and deploying generative AI models and solutions. Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc. Experience with cloud platforms (eg, AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments. Technical Skills: Proficiency in programming languages such as Python, Java, or C++. Strong understanding of machine learning algorithms, deep learning
Jun 10, 2026
Full time
Job title: Senior Generative AI Architect Location: London, UK Work mode: Hybrid - 3 days weekly from office Skills: AI/ML architecture; AI frameworks; AI models & solutions; cloud platforms (eg, AWS, Azure, Google Cloud) and programming languages such as Python, Java, or C++. We have partnered with Coforge and are looking for Senior Generative AI Architect in London, UK. Job Description : The Senior Generative AI Architect will be responsible for designing, developing, and implementing generative AI solutions that align with the company's strategic objectives. This role involves leading the architecture and deployment of advanced AI models, ensuring scalability, security, and ethical considerations are integrated into all AI initiatives. The ideal candidate will possess deep expertise in generative AI technologies, a strong understanding of AI ethics, and the ability to collaborate effectively with cross-functional teams. Key Responsibilities : Architecture Design: Develop and maintain the architectural framework for generative AI solutions, ensuring alignment with business goals and technical standards. Model Development: Lead the design, training, and deployment of generative AI models (eg, GPT, DALL-E, Stable Diffusion) tailored to various applications such as content generation, data synthesis, and automation. Integration: Collaborate with software engineering teams to integrate generative AI capabilities into existing systems and workflows. Scalability & Performance: Ensure AI solutions are scalable, efficient, and optimized for performance across different platforms and environments. Ethical AI Practices: Implement and enforce ethical guidelines for AI development and deployment, addressing issues such as bias, fairness, and transparency. Research & Innovation: Stay abreast of the latest advancements in generative AI and related fields, incorporating new techniques and tools into the company's AI strategy. Collaboration: Work closely with data scientists, engineers, product managers, and other stakeholders to identify opportunities for AI-driven solutions and ensure successful project delivery. Documentation & Standards: Create comprehensive documentation for AI architectures, processes, and best practices. Establish and maintain coding and architectural standards. Experience: Minimum of 7 years of experience in AI/ML architecture or a related role. Proven experience in designing and deploying generative AI models and solutions. Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc. Experience with cloud platforms (eg, AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments. Technical Skills: Proficiency in programming languages such as Python, Java, or C++. Strong understanding of machine learning algorithms, deep learning
We're seeking an experienced Data Science Consultant with a strong background in Logistics/Supply Chain and Generative AI to support high-impact client projects. This is a client-facing role where you'll work with business stakeholders and operations teams to identify, shape, and deliver data-driven and GenAI solutions that improve logistics performance. Key Responsibilities . Engage stakeholders to understand logistics processes, challenges, and opportunities. . Identify and develop data science and GenAI use cases focused on optimisation, forecasting, automation, and decision support. . Analyse operational datasets and build machine learning models. . Design and prototype GenAI solutions using LLMs, prompt engineering, and RAG techniques. . Lead workshops, presentations, PoCs, and pilot initiatives. . Translate complex analytics into actionable business recommendations. Required Experience . Proven experience in a client-facing Data Science or Analytics Consulting role. . Strong Python, SQL, and machine learning expertise. . Hands-on experience with GenAI/LLMs (OpenAI, Azure OpenAI, Anthropic, etc.). . Experience building LLM prototypes, prompt engineering, and RAG solutions. . Strong stakeholder engagement and communication skills. Logistics Experience (Essential) Candidates must have experience within logistics, supply chain, transportation, warehousing, fleet operations, parcel delivery, or similar environments, with knowledge of route planning, capacity utilisation, service levels, and operational KPIs. Nice to Have . Azure, AWS, or GCP experience. . Optimisation/routing tools and operations research exposure. . Power BI, Tableau, or Looker. . Large-scale logistics or E-commerce fulfilment experience. Profile . Based in or able to regularly work in Birmingham (preferred) or London. . Comfortable working autonomously in fast-paced environments. . Strong consulting mindset with the ability to influence stakeholders at all levels.
Jun 10, 2026
Contractor
We're seeking an experienced Data Science Consultant with a strong background in Logistics/Supply Chain and Generative AI to support high-impact client projects. This is a client-facing role where you'll work with business stakeholders and operations teams to identify, shape, and deliver data-driven and GenAI solutions that improve logistics performance. Key Responsibilities . Engage stakeholders to understand logistics processes, challenges, and opportunities. . Identify and develop data science and GenAI use cases focused on optimisation, forecasting, automation, and decision support. . Analyse operational datasets and build machine learning models. . Design and prototype GenAI solutions using LLMs, prompt engineering, and RAG techniques. . Lead workshops, presentations, PoCs, and pilot initiatives. . Translate complex analytics into actionable business recommendations. Required Experience . Proven experience in a client-facing Data Science or Analytics Consulting role. . Strong Python, SQL, and machine learning expertise. . Hands-on experience with GenAI/LLMs (OpenAI, Azure OpenAI, Anthropic, etc.). . Experience building LLM prototypes, prompt engineering, and RAG solutions. . Strong stakeholder engagement and communication skills. Logistics Experience (Essential) Candidates must have experience within logistics, supply chain, transportation, warehousing, fleet operations, parcel delivery, or similar environments, with knowledge of route planning, capacity utilisation, service levels, and operational KPIs. Nice to Have . Azure, AWS, or GCP experience. . Optimisation/routing tools and operations research exposure. . Power BI, Tableau, or Looker. . Large-scale logistics or E-commerce fulfilment experience. Profile . Based in or able to regularly work in Birmingham (preferred) or London. . Comfortable working autonomously in fast-paced environments. . Strong consulting mindset with the ability to influence stakeholders at all levels.
Job Title : Senior Data Engineer Target Start Date: 20th June 2026 Contract Type: Permanent, Part Time, Full Time, Job Share option available Salary Range: £70,000 - £85,000 Location: Eastleigh and Reigate Senior Data Engineer: We are currently recruiting for a Senior Data Engineer to join our innovative Data team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities as the Senior Data Engineer: Build and support data products within our modern data platform Design and deliver solutions with engineers, scientists and product teams Develop and optimise data pipelines across the analytics platform Integrate data from varied sources with strong quality standards Maintain orchestration, monitoring and performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills and experience you need as the Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills with Git, Jenkins or similar Ability to ingest, cleanse and structure large, diverse datasets Knowledge of Terraform or similar IaC tools Experience with Docker and Kubernetes is beneficial Exposure to production Generative AI is an advantage Strong collaboration skills and a proactive attitude At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to discuss how they can help. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role. For more information, please see Ageas Everyone . We have a zero-tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.Our aim is to have great people everywhere in our business and we're always looking for outstanding people to join us. Most roles across Ageas allow a proportion of your time to be spent working from home and we're open to discussing flexible working, including full-time, part-time or job share arrangements. To find out more about Ageas, see About Us . Want to be part of a Winning Team? Come and join Ageas.Click on the 'Apply button' to be considered. Important Notice -
Jun 10, 2026
Full time
Job Title : Senior Data Engineer Target Start Date: 20th June 2026 Contract Type: Permanent, Part Time, Full Time, Job Share option available Salary Range: £70,000 - £85,000 Location: Eastleigh and Reigate Senior Data Engineer: We are currently recruiting for a Senior Data Engineer to join our innovative Data team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities as the Senior Data Engineer: Build and support data products within our modern data platform Design and deliver solutions with engineers, scientists and product teams Develop and optimise data pipelines across the analytics platform Integrate data from varied sources with strong quality standards Maintain orchestration, monitoring and performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills and experience you need as the Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills with Git, Jenkins or similar Ability to ingest, cleanse and structure large, diverse datasets Knowledge of Terraform or similar IaC tools Experience with Docker and Kubernetes is beneficial Exposure to production Generative AI is an advantage Strong collaboration skills and a proactive attitude At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to discuss how they can help. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role. For more information, please see Ageas Everyone . We have a zero-tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.Our aim is to have great people everywhere in our business and we're always looking for outstanding people to join us. Most roles across Ageas allow a proportion of your time to be spent working from home and we're open to discussing flexible working, including full-time, part-time or job share arrangements. To find out more about Ageas, see About Us . Want to be part of a Winning Team? Come and join Ageas.Click on the 'Apply button' to be considered. Important Notice -
Get Staffed Online Recruitment Limited
Ringwood, Hampshire
IT Service Delivery Manager / IT Customer Service Manager Position: Senior Service Manager (internal name) Location: Ringwood, Hampshire + Hybrid home working (non-contractual) Salary: £40,000 + Overtime +Benefits + Company Profit Share Hours: 37.5 hours per week The Role Working in a team of three Senior Service Managers, reporting to the Service Delivery Manager, you will form part of a well-established service management team. You will be helping to lead the delivery of high-quality IT support services and drive continuous improvement across our client s operational environment. You will be responsible, as a team, for the delivery of their support services. You will take responsibility for the end to end customer experience, ensuring service excellence through effective alignment of people, processes and technology. You will identify improvement opportunities, drive change, and ensure ISO management systems are actively promoted and embedded across the support team. As a Senior Support Manager, you will manage a team of Service Managers and 2nd Line Technicians to their full potential. Duties Include: Identify and mitigate risks which could impact our client s services, performance or compliance. Produce and interpret departmental KPI reports to assess operational performance, monitor efficiency, identify risks, and recommend improvements to support department objectives. Act as a key representative for the support department during service transitions, change initiatives, and project delivery. Champion their commitment to ISO management systems within the support team, embedding best practice and continuous improvement. Skills and Experience: Experience in Service Delivery or IT Service Management (3 years preferred), with proven people management experience, a strong track record managing incidents, problems, and major incidents. Solid understanding of IT support environments, ideally with previous hands-on troubleshooting or IT operations experience. Experience and knowledge of using ITIL best practice. Excellent communication and stakeholder management skills, manage escalations professionally, and present confidently. Strong analytical and reporting ability. Ability to learn new technologies quickly. Organised and adaptable, capable of managing multiple priorities and performing effectively under pressure. Proactive and improvement focused, committed to continuous learning, professional development, and raising service standards. The role is subject to a standard clear DBS being received. The Package: Company Profit Share (first £3,600 is tax free). 22 days annual leave plus bank holidays, increasing with length of service. Birthday as additional paid leave. Additional paid leave (dependent on company performance). Company sick pay policy. Pension Scheme. Private Medical Insurance including dental. Free Parking. Hybrid Working. Progression opportunities. Fresh fruit, the occasional pizza and a posh coffee machine! Our Client Our client has been a specialist IT Infrastructure and Support Services provider for over 25 years. They are an Employee Ownership Trust. They are proud winners of Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Their core services include support desk, on-site engineering, project management and delivery, storage and logistics, software development and technical consultancy. They encourage progression within themselves for their colleagues, offering opportunities in other teams and departments. Join our client s friendly company, where a great team and a positive culture await you.
Jun 10, 2026
Full time
IT Service Delivery Manager / IT Customer Service Manager Position: Senior Service Manager (internal name) Location: Ringwood, Hampshire + Hybrid home working (non-contractual) Salary: £40,000 + Overtime +Benefits + Company Profit Share Hours: 37.5 hours per week The Role Working in a team of three Senior Service Managers, reporting to the Service Delivery Manager, you will form part of a well-established service management team. You will be helping to lead the delivery of high-quality IT support services and drive continuous improvement across our client s operational environment. You will be responsible, as a team, for the delivery of their support services. You will take responsibility for the end to end customer experience, ensuring service excellence through effective alignment of people, processes and technology. You will identify improvement opportunities, drive change, and ensure ISO management systems are actively promoted and embedded across the support team. As a Senior Support Manager, you will manage a team of Service Managers and 2nd Line Technicians to their full potential. Duties Include: Identify and mitigate risks which could impact our client s services, performance or compliance. Produce and interpret departmental KPI reports to assess operational performance, monitor efficiency, identify risks, and recommend improvements to support department objectives. Act as a key representative for the support department during service transitions, change initiatives, and project delivery. Champion their commitment to ISO management systems within the support team, embedding best practice and continuous improvement. Skills and Experience: Experience in Service Delivery or IT Service Management (3 years preferred), with proven people management experience, a strong track record managing incidents, problems, and major incidents. Solid understanding of IT support environments, ideally with previous hands-on troubleshooting or IT operations experience. Experience and knowledge of using ITIL best practice. Excellent communication and stakeholder management skills, manage escalations professionally, and present confidently. Strong analytical and reporting ability. Ability to learn new technologies quickly. Organised and adaptable, capable of managing multiple priorities and performing effectively under pressure. Proactive and improvement focused, committed to continuous learning, professional development, and raising service standards. The role is subject to a standard clear DBS being received. The Package: Company Profit Share (first £3,600 is tax free). 22 days annual leave plus bank holidays, increasing with length of service. Birthday as additional paid leave. Additional paid leave (dependent on company performance). Company sick pay policy. Pension Scheme. Private Medical Insurance including dental. Free Parking. Hybrid Working. Progression opportunities. Fresh fruit, the occasional pizza and a posh coffee machine! Our Client Our client has been a specialist IT Infrastructure and Support Services provider for over 25 years. They are an Employee Ownership Trust. They are proud winners of Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Their core services include support desk, on-site engineering, project management and delivery, storage and logistics, software development and technical consultancy. They encourage progression within themselves for their colleagues, offering opportunities in other teams and departments. Join our client s friendly company, where a great team and a positive culture await you.
SAFETY ASSURANCE CONSULTANT (AUTONOMOUS SYSTEMS) Please note: You must be eligible to obtain UK security clearance to be suitable for this opportunity. 50,000 - 60,000 + Benefits Location Flexible-multiple UK office locations (Bristol, North West, Dorset, Portsmouth) with hybrid working available. If you're interested in working at the forefront of autonomous systems assurance and want to play a meaningful role in shaping this rapidly evolving field, this is an excellent opportunity for you. The Opportunity Our client is a highly respected, employee-owned engineering consultancy delivering specialist safety, environmental, and technical assurance services across complex, safety-critical sectors. With a strong reputation for quality and long-term client partnerships, they are investing in the growth of their digital and autonomous systems capability. They are now seeking an Autonomous Systems Assurance Consultant to play a key role in shaping how next-generation autonomous, uncrewed, and AI-enabled systems are assured for safety, compliance, and operational dependability. This is a chance to work at the cutting edge of autonomy-contributing to nationally significant programmes while influencing the future direction of a growing capability area. The Role You will take a leading role in the delivery and development of safety assurance activities for advanced autonomous systems programmes. Alongside technical delivery, you'll contribute to capability growth, client engagement, and strategic direction within this evolving domain. Key responsibilities include: Leading safety assurance activities across autonomous and AI-enabled systems in line with recognised standards and emerging best practice (e.g. AMLAS and AI assurance frameworks) Conducting system safety analyses such as hazard identification, Functional Hazard Assessment (FHA), and Systems Theoretic Process Analysis (STPA) Assessing risks associated with machine learning, sensor fusion, and automated decision-making systems Developing robust safety cases using structured methodologies (e.g. GSN) Supporting or leading bid and proposal activities with a focus on technical excellence Building and maintaining strong client relationships to support long-term programme delivery Representing the organisation at industry events, including technical presentations and thought leadership What They're Looking For Experience applying safety engineering principles within safety-critical environments Exposure to autonomous systems, AI, or machine learning assurance (desirable) Familiarity with relevant industry standards and emerging regulatory frameworks Strong communication skills and the ability to work across multidisciplinary teams Comfortable operating in a collaborative, agile environment where initiative is valued Why apply for this role? You'll be joining an organisation where employees have a genuine stake in the business and its direction. The culture emphasises collaboration, accountability, and sustainable growth-creating an environment where your own contribution has real impact. Package highlights include: Competitive salary and performance-related bonus Flexible and hybrid working arrangements Professional development support, including funded memberships Structured training in both technical and consultancy skills Generous holiday allowance with options to buy/sell leave Pension scheme, life insurance, and optional private medical cover Additional benefits including cycle-to-work and referral incentives Services advertised by Gold Group are those of an Agency and/or an Employment Business. We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.
Jun 10, 2026
Full time
SAFETY ASSURANCE CONSULTANT (AUTONOMOUS SYSTEMS) Please note: You must be eligible to obtain UK security clearance to be suitable for this opportunity. 50,000 - 60,000 + Benefits Location Flexible-multiple UK office locations (Bristol, North West, Dorset, Portsmouth) with hybrid working available. If you're interested in working at the forefront of autonomous systems assurance and want to play a meaningful role in shaping this rapidly evolving field, this is an excellent opportunity for you. The Opportunity Our client is a highly respected, employee-owned engineering consultancy delivering specialist safety, environmental, and technical assurance services across complex, safety-critical sectors. With a strong reputation for quality and long-term client partnerships, they are investing in the growth of their digital and autonomous systems capability. They are now seeking an Autonomous Systems Assurance Consultant to play a key role in shaping how next-generation autonomous, uncrewed, and AI-enabled systems are assured for safety, compliance, and operational dependability. This is a chance to work at the cutting edge of autonomy-contributing to nationally significant programmes while influencing the future direction of a growing capability area. The Role You will take a leading role in the delivery and development of safety assurance activities for advanced autonomous systems programmes. Alongside technical delivery, you'll contribute to capability growth, client engagement, and strategic direction within this evolving domain. Key responsibilities include: Leading safety assurance activities across autonomous and AI-enabled systems in line with recognised standards and emerging best practice (e.g. AMLAS and AI assurance frameworks) Conducting system safety analyses such as hazard identification, Functional Hazard Assessment (FHA), and Systems Theoretic Process Analysis (STPA) Assessing risks associated with machine learning, sensor fusion, and automated decision-making systems Developing robust safety cases using structured methodologies (e.g. GSN) Supporting or leading bid and proposal activities with a focus on technical excellence Building and maintaining strong client relationships to support long-term programme delivery Representing the organisation at industry events, including technical presentations and thought leadership What They're Looking For Experience applying safety engineering principles within safety-critical environments Exposure to autonomous systems, AI, or machine learning assurance (desirable) Familiarity with relevant industry standards and emerging regulatory frameworks Strong communication skills and the ability to work across multidisciplinary teams Comfortable operating in a collaborative, agile environment where initiative is valued Why apply for this role? You'll be joining an organisation where employees have a genuine stake in the business and its direction. The culture emphasises collaboration, accountability, and sustainable growth-creating an environment where your own contribution has real impact. Package highlights include: Competitive salary and performance-related bonus Flexible and hybrid working arrangements Professional development support, including funded memberships Structured training in both technical and consultancy skills Generous holiday allowance with options to buy/sell leave Pension scheme, life insurance, and optional private medical cover Additional benefits including cycle-to-work and referral incentives Services advertised by Gold Group are those of an Agency and/or an Employment Business. We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.
Job Title : Senior Pricing Analyst - Strategic Target Start Date: ASAP Contract Type: Permanent, Part Time, Full Time, Job Share option available Salary Range: Circa £45,000 DOE Location: Hybrid, Eastleigh / London once a month Senior Pricing Analyst - Strategic: Ageas have an exciting opportunity for a Senior Pricing Analyst to join the Strategic Pricing Team. Ageas is in the process of delivering wholesale improvement to its pricing sophistication, performance management capability and technical excellence, in order to successfully compete in the home insurance market and as such you will be at the forefront in delivering this strategy. You will support the monitoring of performance and contribute to the profitable development of Ageas' Household portfolio, through control of pricing. The Senior Pricing Analyst will provide detailed analysis of data using sophisticated actuarial and statistical techniques that inform pricing actions to increase volume, income and profit. The resulting pricing actions will have a direct and immediate impact on the future profitability and growth of the business, with key targets to increase conversion, retention and achieve target loss ratios. Main Responsibilities as Senior Pricing Analyst - Strategic: Develop validate and review predictive models including machine learning models. Run data for modelling, pricing and monitoring. Development and delivery of up to date and accurate datasets for modelling, pricing and monitoring. Development and maintenance of pricing models and support for their deployment. Carry out pricing analyses and prepare options for senior stakeholders. Carry out deployment/send instructions for rate releases and review of rates into rate engine/live environment. Develop a balanced view of current and future pricing performance by combining MI, modelling results and company targets. Maintenance of records to coordinate pricing decisions and implementation across teams, decision making bodies and implementation pathways. Execution, development and project management across all stages of the price control cycle as required. Skills and experience you need as Senior Pricing Analyst - Strategic: Experience of using Emblem or Radar, A good quantitative degree, e.g. in Statistics, Mathematics or Actuarial Science. Experience in a relevant role in a data-driven environment. Knowledge of insurance products and distributions (direct, intermediary, aggregators). Experience of using statistics to explore and validate data, extract and manipulate large datasets for analysis. Experienced in the use of programming language (e.g. SAS) and/or statistical packages e.g. actuarial pricing software. Experienced in the use of a programming language (e.g. R, Matlab, Python or Octave). At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to discuss how they can help. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role. For more information, please see Ageas E
Jun 10, 2026
Full time
Job Title : Senior Pricing Analyst - Strategic Target Start Date: ASAP Contract Type: Permanent, Part Time, Full Time, Job Share option available Salary Range: Circa £45,000 DOE Location: Hybrid, Eastleigh / London once a month Senior Pricing Analyst - Strategic: Ageas have an exciting opportunity for a Senior Pricing Analyst to join the Strategic Pricing Team. Ageas is in the process of delivering wholesale improvement to its pricing sophistication, performance management capability and technical excellence, in order to successfully compete in the home insurance market and as such you will be at the forefront in delivering this strategy. You will support the monitoring of performance and contribute to the profitable development of Ageas' Household portfolio, through control of pricing. The Senior Pricing Analyst will provide detailed analysis of data using sophisticated actuarial and statistical techniques that inform pricing actions to increase volume, income and profit. The resulting pricing actions will have a direct and immediate impact on the future profitability and growth of the business, with key targets to increase conversion, retention and achieve target loss ratios. Main Responsibilities as Senior Pricing Analyst - Strategic: Develop validate and review predictive models including machine learning models. Run data for modelling, pricing and monitoring. Development and delivery of up to date and accurate datasets for modelling, pricing and monitoring. Development and maintenance of pricing models and support for their deployment. Carry out pricing analyses and prepare options for senior stakeholders. Carry out deployment/send instructions for rate releases and review of rates into rate engine/live environment. Develop a balanced view of current and future pricing performance by combining MI, modelling results and company targets. Maintenance of records to coordinate pricing decisions and implementation across teams, decision making bodies and implementation pathways. Execution, development and project management across all stages of the price control cycle as required. Skills and experience you need as Senior Pricing Analyst - Strategic: Experience of using Emblem or Radar, A good quantitative degree, e.g. in Statistics, Mathematics or Actuarial Science. Experience in a relevant role in a data-driven environment. Knowledge of insurance products and distributions (direct, intermediary, aggregators). Experience of using statistics to explore and validate data, extract and manipulate large datasets for analysis. Experienced in the use of programming language (e.g. SAS) and/or statistical packages e.g. actuarial pricing software. Experienced in the use of a programming language (e.g. R, Matlab, Python or Octave). At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to discuss how they can help. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role. For more information, please see Ageas E
Job Title : Market Pricing Manager Target Start Date: ASAP Contract Type: Permanent, Part Time, Full Time, Job Share option available Salary Range: £70,000 - £84,000 Location: Hybrid, once a month - Eastleigh / Bournemouth Market Pricing Manager: Fantastic opportunity to join our Market Pricing team as a Pricing Manager, assisting to plan and deliver pricing related projects to deadline and quality standards. You will directly influence the future growth of the business, with key deliverables to increase conversion, retention and overall company income and profitability. You will work closely with cross-functional teams across all products to develop and implement optimisation models, analyse market trends, and make data-driven decisions to ensure our pricing strategies align with our business objectives. The role will involve the management of detailed analysis of data using sophisticated machine learning and statistical techniques within price optimisation to recommend pricing actions which increase volume, income and profit. In addition, the Pricing Manager will build pricing capability and core skills within the business, as well as influence the strategic direction of retail pricing in the wider Ageas UK Group. Main Responsibilities as Market Pricing Manager: Management, development and coaching of Lead, Senior and Pricing Analysts (circa team of 5). Monitoring and management of trading position to ensure targets are met. Oversight and approval of the maintenance and application of models of customer and market behaviour; incorporating machine learning into behavioural models; enabling the exploration of new techniques to improve models. Compiling and ensuring the timely delivery of recommendations for trading forums; discussing propositions with senior stakeholders. Develop a balanced view of current and future pricing performance by combining MI, modelling results and company targets. Skills and experience you need as Market Pricing Manager: Educated to degree level or equivalent in a numerical discipline or qualified by experience. Extensive experience in insurance pricing or related analytical background. Detailed knowledge or experience of price optimisation. Experience in using Emblem, Radar, Databricks or industry equivalent. Experience of dealing with and influencing colleagues at all levels up to, and including, senior management and directors. At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to discuss how they can help. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role. For more information, please see Ageas Everyone . We have a zero-tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.Our aim is to have great people everywhere in our business and we're always looking for outstanding people to join us. Most roles across Ageas allow a proportion of your time to be spent working from home and we're open to discussing flexible working, including full-time, part-time or job share arrangements. To find
Jun 10, 2026
Full time
Job Title : Market Pricing Manager Target Start Date: ASAP Contract Type: Permanent, Part Time, Full Time, Job Share option available Salary Range: £70,000 - £84,000 Location: Hybrid, once a month - Eastleigh / Bournemouth Market Pricing Manager: Fantastic opportunity to join our Market Pricing team as a Pricing Manager, assisting to plan and deliver pricing related projects to deadline and quality standards. You will directly influence the future growth of the business, with key deliverables to increase conversion, retention and overall company income and profitability. You will work closely with cross-functional teams across all products to develop and implement optimisation models, analyse market trends, and make data-driven decisions to ensure our pricing strategies align with our business objectives. The role will involve the management of detailed analysis of data using sophisticated machine learning and statistical techniques within price optimisation to recommend pricing actions which increase volume, income and profit. In addition, the Pricing Manager will build pricing capability and core skills within the business, as well as influence the strategic direction of retail pricing in the wider Ageas UK Group. Main Responsibilities as Market Pricing Manager: Management, development and coaching of Lead, Senior and Pricing Analysts (circa team of 5). Monitoring and management of trading position to ensure targets are met. Oversight and approval of the maintenance and application of models of customer and market behaviour; incorporating machine learning into behavioural models; enabling the exploration of new techniques to improve models. Compiling and ensuring the timely delivery of recommendations for trading forums; discussing propositions with senior stakeholders. Develop a balanced view of current and future pricing performance by combining MI, modelling results and company targets. Skills and experience you need as Market Pricing Manager: Educated to degree level or equivalent in a numerical discipline or qualified by experience. Extensive experience in insurance pricing or related analytical background. Detailed knowledge or experience of price optimisation. Experience in using Emblem, Radar, Databricks or industry equivalent. Experience of dealing with and influencing colleagues at all levels up to, and including, senior management and directors. At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to discuss how they can help. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role. For more information, please see Ageas Everyone . We have a zero-tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.Our aim is to have great people everywhere in our business and we're always looking for outstanding people to join us. Most roles across Ageas allow a proportion of your time to be spent working from home and we're open to discussing flexible working, including full-time, part-time or job share arrangements. To find
Lead AI & Data Scientist London/ Hybrid up to 140k + Benefits Most data leadership roles sit at one end of the spectrum. Either highly technical, buried in models and architecture, or heavily stakeholder-focused with little involvement in the actual delivery. This role sits in the middle (or both). They need your skills in a client and stakeholder facing, upwards and downwards management and technical understanding. You'll lead a growing Data science function responsible for delivering real-world AI, machine learning and data science solutions across a complex professional services environment. The challenge is not simply building models. It's understanding business problems, translating them into practical solutions, and helping senior stakeholders understand exactly how technology can create value. The team is already delivering across machine learning, GenAI, document intelligence, search, retrieval, automation and knowledge management. The next phase involves expanding AI capability, shaping a longer-term roadmap around emerging technologies such as Agentic AI, and driving adoption across the wider business. Key responsibilities include: Leading a team of Data Scientists and AI specialists Defining Data & AI strategy and technical direction Designing and delivering Machine Learning, NLP, GenAI and RAG-based solutions Working directly with senior business stakeholders and clients Translating complex technical concepts into clear business language Driving delivery of AI products from concept through to production Establishing governance, evaluation frameworks and responsible AI controls Coaching and mentoring technical teams while remaining hands-on when required To be successful, you'll need a strong background in Data Science, Machine Learning and modern AI technologies, combined with the communication skills to operate confidently from technical workshops through to executive-level discussions. If you can articulate complex AI concepts in 30 seconds, influence stakeholders at every level, and lead a team focused on solving difficult business problems with data - please apply. An opportunity to help shape the future direction of AI within a business that is investing heavily in the technology, in a disruptive industry and determined to stay ahead of the curve.
Jun 10, 2026
Full time
Lead AI & Data Scientist London/ Hybrid up to 140k + Benefits Most data leadership roles sit at one end of the spectrum. Either highly technical, buried in models and architecture, or heavily stakeholder-focused with little involvement in the actual delivery. This role sits in the middle (or both). They need your skills in a client and stakeholder facing, upwards and downwards management and technical understanding. You'll lead a growing Data science function responsible for delivering real-world AI, machine learning and data science solutions across a complex professional services environment. The challenge is not simply building models. It's understanding business problems, translating them into practical solutions, and helping senior stakeholders understand exactly how technology can create value. The team is already delivering across machine learning, GenAI, document intelligence, search, retrieval, automation and knowledge management. The next phase involves expanding AI capability, shaping a longer-term roadmap around emerging technologies such as Agentic AI, and driving adoption across the wider business. Key responsibilities include: Leading a team of Data Scientists and AI specialists Defining Data & AI strategy and technical direction Designing and delivering Machine Learning, NLP, GenAI and RAG-based solutions Working directly with senior business stakeholders and clients Translating complex technical concepts into clear business language Driving delivery of AI products from concept through to production Establishing governance, evaluation frameworks and responsible AI controls Coaching and mentoring technical teams while remaining hands-on when required To be successful, you'll need a strong background in Data Science, Machine Learning and modern AI technologies, combined with the communication skills to operate confidently from technical workshops through to executive-level discussions. If you can articulate complex AI concepts in 30 seconds, influence stakeholders at every level, and lead a team focused on solving difficult business problems with data - please apply. An opportunity to help shape the future direction of AI within a business that is investing heavily in the technology, in a disruptive industry and determined to stay ahead of the curve.
PRINCIPAL AI CONSULTANT Remote role with travel to client sites as required Lead the delivery of enterprise-scale AI solutions for a growing consultancy Highly client-facing role with influence across strategy, architecture, and delivery Work with Azure AI Foundry, Databricks, MLOps, and cutting-edge agentic AI technologies ABOUT THE CLIENT We're partnering with a growing consultancy at the forefront of AI and data innovation, helping organisations unlock greater value through modern engineering and intelligent solutions. Due to continued growth, they are looking for a Principal AI Consultant to join the business and play a key role in shaping both client solutions and the wider AI capability. This is a highly consultative position suited to someone who is confident operating in client-facing environments and able to build trust quickly with senior stakeholders. THE BENEFITS Remote working with travel to client sites as required Opportunity to lead and grow a high-performing AI engineering team Exposure to cutting-edge AI technologies, including LLMs and agentic frameworks Work across a broad range of industries and enterprise-scale projects Strong focus on learning, innovation, and career progression Collaborative, people-first culture THE PRINCIPAL AI CONSULTANT ROLE You will act as both a technical leader and trusted advisor, helping clients navigate complex AI initiatives with confidence. This role requires someone who can simplify highly technical concepts, guide conversations with clarity, and create confidence amongst both technical and non-technical stakeholders. You will lead workshops, shape AI strategies, influence delivery decisions, and ensure solutions are scalable, secure, and commercially valuable. Alongside hands-on engineering leadership, you will mentor teams, define best practices, and help grow the wider AI capability. The successful candidate will be someone who naturally puts stakeholders at ease, commands credibility in the room, and thrives in environments where communication and relationship-building are just as important as technical expertise. PRINCIPAL AI CONSULTANT - ESSENTIAL SKILLS Previous experience working within a consultancy or client-facing environment Exceptional communication and stakeholder engagement skills Ability to influence and build trust with senior business and technical stakeholders Proven experience delivering AI solutions into production Strong Python/software engineering background Experience with Azure AI Foundry, Azure ML, Databricks, AWS SageMaker, Bedrock, or similar platforms Strong understanding of MLOps, CI/CD, observability, and production AI delivery Experience leading engineering teams and mentoring technical professionals Ability to lead workshops, shape solutions, and support decision-making in complex environments TO BE CONSIDERED Please either apply through this advert or email me directly via By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS AI Consulting, AI Engineering, Stakeholder Management, Python, Azure AI Foundry, Databricks, MLOps, AWS SageMaker, Bedrock, Machine Learning, Cloud, AI Strategy, Technical Leadership
Jun 10, 2026
Full time
PRINCIPAL AI CONSULTANT Remote role with travel to client sites as required Lead the delivery of enterprise-scale AI solutions for a growing consultancy Highly client-facing role with influence across strategy, architecture, and delivery Work with Azure AI Foundry, Databricks, MLOps, and cutting-edge agentic AI technologies ABOUT THE CLIENT We're partnering with a growing consultancy at the forefront of AI and data innovation, helping organisations unlock greater value through modern engineering and intelligent solutions. Due to continued growth, they are looking for a Principal AI Consultant to join the business and play a key role in shaping both client solutions and the wider AI capability. This is a highly consultative position suited to someone who is confident operating in client-facing environments and able to build trust quickly with senior stakeholders. THE BENEFITS Remote working with travel to client sites as required Opportunity to lead and grow a high-performing AI engineering team Exposure to cutting-edge AI technologies, including LLMs and agentic frameworks Work across a broad range of industries and enterprise-scale projects Strong focus on learning, innovation, and career progression Collaborative, people-first culture THE PRINCIPAL AI CONSULTANT ROLE You will act as both a technical leader and trusted advisor, helping clients navigate complex AI initiatives with confidence. This role requires someone who can simplify highly technical concepts, guide conversations with clarity, and create confidence amongst both technical and non-technical stakeholders. You will lead workshops, shape AI strategies, influence delivery decisions, and ensure solutions are scalable, secure, and commercially valuable. Alongside hands-on engineering leadership, you will mentor teams, define best practices, and help grow the wider AI capability. The successful candidate will be someone who naturally puts stakeholders at ease, commands credibility in the room, and thrives in environments where communication and relationship-building are just as important as technical expertise. PRINCIPAL AI CONSULTANT - ESSENTIAL SKILLS Previous experience working within a consultancy or client-facing environment Exceptional communication and stakeholder engagement skills Ability to influence and build trust with senior business and technical stakeholders Proven experience delivering AI solutions into production Strong Python/software engineering background Experience with Azure AI Foundry, Azure ML, Databricks, AWS SageMaker, Bedrock, or similar platforms Strong understanding of MLOps, CI/CD, observability, and production AI delivery Experience leading engineering teams and mentoring technical professionals Ability to lead workshops, shape solutions, and support decision-making in complex environments TO BE CONSIDERED Please either apply through this advert or email me directly via By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS AI Consulting, AI Engineering, Stakeholder Management, Python, Azure AI Foundry, Databricks, MLOps, AWS SageMaker, Bedrock, Machine Learning, Cloud, AI Strategy, Technical Leadership
Founding AI Engineer Location : London (Hybrid / Flexible) Salary : Competitive DOE + Bonus + Equity Company Overview We are working with an early-stage technology company building AI-native systems that help large organisations better understand, govern, and secure complex data and identity ecosystems. Operating at the intersection of AI, cyber security, and enterprise data platforms , the business is focused on transforming how organisations model access, risk, and data relationships across increasingly distributed cloud environments. The team is small, highly technical, and product-focused, with a strong bias toward ownership, rapid iteration, and building systems that operate in complex, real-world enterprise environments. Engineering sits at the centre of everything, and individuals are expected to have a direct impact on product direction and architecture. The Role We are seeking a Founding AI Engineer / Engineering Lead to join the business at a pivotal stage as the platform moves from early MVP into scalable production use with enterprise customers. This is a hands-on technical leadership role , not a product management position. You will be responsible for designing, building, and scaling core components of an AI-driven enterprise platform, working across data, machine learning, and distributed systems. You will also work directly with early customers to understand real-world use cases and translate them into robust, scalable product capabilities. This role suits someone who still enjoys building and shipping code, but is comfortable influencing architecture, mentoring engineers, and shaping technical direction. You will have significant influence over: Core system architecture AI/ML strategy and implementation Data modelling and enterprise integration patterns Early product design decisions Engineering standards and scalability approach Key Responsibilities Design and build core components of an AI-native enterprise platform from the ground up Develop and deploy machine learning and LLM-based systems in production environments Build scalable data and AI pipelines across complex enterprise datasets Work closely with early enterprise customers to refine requirements and shape product direction Define and implement system architecture for AI, data, and integration layers Build agentic AI workflows and knowledge-driven systems using modern LLM frameworks Implement robust MLOps pipelines for model training, deployment, monitoring, and governance Contribute directly to production code in Python and related AI/data tooling Support technical decision-making around cloud architecture, scalability, and system design Help establish engineering best practices in a fast-moving early-stage environment Tech Stack Python TensorFlow / PyTorch LLM frameworks (LangChain, LangGraph, or similar agentic AI tooling) AWS / Azure cloud platforms (including AI services such as Bedrock) Data engineering tools (e.g. AWS Glue or equivalent) NLP, embeddings, vector databases, RAG architectures MLOps tooling for model deployment and monitoring Experience with distributed data systems and APIs Required Skills & Experience Several years' experience in software engineering, data engineering, or AI engineering roles Strong academic background in Computer Science, Engineering, Mathematics, or similar Experience working in a product-led technology environment (SaaS, AI platform, or similar) Proven ability to ship production-grade AI or data systems Strong Python engineering capability Experience with modern ML / LLM systems and frameworks Exposure to cloud-based AI/ML platforms (AWS, Azure, or GCP) Comfortable working in early-stage environments with ambiguity and ownership Strong communication skills and ability to work directly with technical and non-technical stakeholders Bonus Experience (Highly Valued) Cyber security / identity / access management (IAM / IdAM) exposure Cloud operations, DevSecOps, or infrastructure-heavy environments Experience in regulated or enterprise-scale domains Knowledge of enterprise data governance, data modelling, or integration architecture How You Work Highly hands-on and enjoys building systems end-to-end Comfortable operating in ambiguity and shaping problems as well as solving them Strong bias toward delivery, iteration, and practical engineering outcomes Collaborative, but able to take full ownership of technical decisions Interested in building foundational systems, not just features What We Offer Highly competitive base salary (DOE) + bonus Equity / stock options in a high-growth early-stage business Private medical insurance Hybrid working (London-based, flexible model) High ownership role with significant influence on product and architecture Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
Jun 09, 2026
Full time
Founding AI Engineer Location : London (Hybrid / Flexible) Salary : Competitive DOE + Bonus + Equity Company Overview We are working with an early-stage technology company building AI-native systems that help large organisations better understand, govern, and secure complex data and identity ecosystems. Operating at the intersection of AI, cyber security, and enterprise data platforms , the business is focused on transforming how organisations model access, risk, and data relationships across increasingly distributed cloud environments. The team is small, highly technical, and product-focused, with a strong bias toward ownership, rapid iteration, and building systems that operate in complex, real-world enterprise environments. Engineering sits at the centre of everything, and individuals are expected to have a direct impact on product direction and architecture. The Role We are seeking a Founding AI Engineer / Engineering Lead to join the business at a pivotal stage as the platform moves from early MVP into scalable production use with enterprise customers. This is a hands-on technical leadership role , not a product management position. You will be responsible for designing, building, and scaling core components of an AI-driven enterprise platform, working across data, machine learning, and distributed systems. You will also work directly with early customers to understand real-world use cases and translate them into robust, scalable product capabilities. This role suits someone who still enjoys building and shipping code, but is comfortable influencing architecture, mentoring engineers, and shaping technical direction. You will have significant influence over: Core system architecture AI/ML strategy and implementation Data modelling and enterprise integration patterns Early product design decisions Engineering standards and scalability approach Key Responsibilities Design and build core components of an AI-native enterprise platform from the ground up Develop and deploy machine learning and LLM-based systems in production environments Build scalable data and AI pipelines across complex enterprise datasets Work closely with early enterprise customers to refine requirements and shape product direction Define and implement system architecture for AI, data, and integration layers Build agentic AI workflows and knowledge-driven systems using modern LLM frameworks Implement robust MLOps pipelines for model training, deployment, monitoring, and governance Contribute directly to production code in Python and related AI/data tooling Support technical decision-making around cloud architecture, scalability, and system design Help establish engineering best practices in a fast-moving early-stage environment Tech Stack Python TensorFlow / PyTorch LLM frameworks (LangChain, LangGraph, or similar agentic AI tooling) AWS / Azure cloud platforms (including AI services such as Bedrock) Data engineering tools (e.g. AWS Glue or equivalent) NLP, embeddings, vector databases, RAG architectures MLOps tooling for model deployment and monitoring Experience with distributed data systems and APIs Required Skills & Experience Several years' experience in software engineering, data engineering, or AI engineering roles Strong academic background in Computer Science, Engineering, Mathematics, or similar Experience working in a product-led technology environment (SaaS, AI platform, or similar) Proven ability to ship production-grade AI or data systems Strong Python engineering capability Experience with modern ML / LLM systems and frameworks Exposure to cloud-based AI/ML platforms (AWS, Azure, or GCP) Comfortable working in early-stage environments with ambiguity and ownership Strong communication skills and ability to work directly with technical and non-technical stakeholders Bonus Experience (Highly Valued) Cyber security / identity / access management (IAM / IdAM) exposure Cloud operations, DevSecOps, or infrastructure-heavy environments Experience in regulated or enterprise-scale domains Knowledge of enterprise data governance, data modelling, or integration architecture How You Work Highly hands-on and enjoys building systems end-to-end Comfortable operating in ambiguity and shaping problems as well as solving them Strong bias toward delivery, iteration, and practical engineering outcomes Collaborative, but able to take full ownership of technical decisions Interested in building foundational systems, not just features What We Offer Highly competitive base salary (DOE) + bonus Equity / stock options in a high-growth early-stage business Private medical insurance Hybrid working (London-based, flexible model) High ownership role with significant influence on product and architecture Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
Data Solution Architect - Databricks Location: UK Wide (Hybrid) Salary: Up to 110,000 + Bonus + Excellent Benefits Security Clearance: Must be eligible for SC Clearance The Opportunity We're recruiting for an experienced Data Solution Architect with strong Databricks expertise to join a leading technology consultancy delivering large-scale data, analytics, AI and cloud transformation programmes. This role will see you designing and delivering modern data platforms, working closely with clients and technical teams to build scalable, secure and high-performing solutions using Databricks, Apache Spark and cloud technologies. You'll also play a key role in pre-sales activities, solution design, and helping to drive strategic Databricks initiatives across the business. Key Responsibilities Design and architect Databricks-based data platforms and solutions. Build scalable data lakehouse and data warehouse architectures. Design data integration, transformation and analytics solutions. Support AI and Machine Learning use cases through modern data architectures. Collaborate with architects, engineers, data scientists and business stakeholders. Lead technical workshops and contribute to solution design activities. Support pre-sales engagements, proposals and client presentations. Drive best practice across Databricks and modern data platform delivery. Skills & Experience Required 7+ years' experience in Data Architecture or Solution Architecture. Strong commercial experience with Databricks and Apache Spark . Experience delivering enterprise data platforms on AWS, Azure or GCP. Strong understanding of data warehousing, data lakes and lakehouse architectures. Experience designing secure, scalable and governed data solutions. Excellent stakeholder management and communication skills. Experience supporting pre-sales, bids or solution shaping activities is highly desirable. Nice to Have Public sector experience. Databricks certifications. Cloud certifications (AWS, Azure or GCP). Experience with AI, Machine Learning or GenAI projects. What's on Offer? Up to 110,000 base salary Performance bonus Private healthcare Pension scheme Flexible hybrid working Ongoing training and certification support Exposure to enterprise-scale cloud, data and AI projects Clear progression opportunities Security Clearance Candidates must be eligible for SC Clearance , which typically requires continuous UK residency for the past 5 years. Apply If you're an experienced Data Solution Architect with strong Databricks expertise and are looking to work on large-scale cloud and data transformation programmes, we'd love to hear from you.
Jun 09, 2026
Full time
Data Solution Architect - Databricks Location: UK Wide (Hybrid) Salary: Up to 110,000 + Bonus + Excellent Benefits Security Clearance: Must be eligible for SC Clearance The Opportunity We're recruiting for an experienced Data Solution Architect with strong Databricks expertise to join a leading technology consultancy delivering large-scale data, analytics, AI and cloud transformation programmes. This role will see you designing and delivering modern data platforms, working closely with clients and technical teams to build scalable, secure and high-performing solutions using Databricks, Apache Spark and cloud technologies. You'll also play a key role in pre-sales activities, solution design, and helping to drive strategic Databricks initiatives across the business. Key Responsibilities Design and architect Databricks-based data platforms and solutions. Build scalable data lakehouse and data warehouse architectures. Design data integration, transformation and analytics solutions. Support AI and Machine Learning use cases through modern data architectures. Collaborate with architects, engineers, data scientists and business stakeholders. Lead technical workshops and contribute to solution design activities. Support pre-sales engagements, proposals and client presentations. Drive best practice across Databricks and modern data platform delivery. Skills & Experience Required 7+ years' experience in Data Architecture or Solution Architecture. Strong commercial experience with Databricks and Apache Spark . Experience delivering enterprise data platforms on AWS, Azure or GCP. Strong understanding of data warehousing, data lakes and lakehouse architectures. Experience designing secure, scalable and governed data solutions. Excellent stakeholder management and communication skills. Experience supporting pre-sales, bids or solution shaping activities is highly desirable. Nice to Have Public sector experience. Databricks certifications. Cloud certifications (AWS, Azure or GCP). Experience with AI, Machine Learning or GenAI projects. What's on Offer? Up to 110,000 base salary Performance bonus Private healthcare Pension scheme Flexible hybrid working Ongoing training and certification support Exposure to enterprise-scale cloud, data and AI projects Clear progression opportunities Security Clearance Candidates must be eligible for SC Clearance , which typically requires continuous UK residency for the past 5 years. Apply If you're an experienced Data Solution Architect with strong Databricks expertise and are looking to work on large-scale cloud and data transformation programmes, we'd love to hear from you.
ABOUT BG AUTOMOTIVE BG Automotive (BGA) is a leader in the Automotive Aftermarket spares industry, catering to both UK and export markets. At BGA, you will join a dynamic environment where innovation and data-driven decision-making are at the core of our success. As a Data Scientist, you will work on impactful projects that range from advanced analytics and predictive modelling to business intelligence and process optimization. Collaborate with cross-functional teams to extract insights from data and develop solutions that enhance efficiency and drive growth. We are looking for a curious and creative individual with a strong analytical mindset, technological fluency, and a passion for solving complex problems. If you thrive on uncovering insights through data and developing actionable solutions, BGA is the ideal place to advance your career. What you will do: Analyse large and complex datasets to uncover insights and inform decision-making. Design and implement machine learning models to address business challenges. Develop dashboards, reports, and visualizations to present data-driven insights. Collaborate with cross-functional teams to identify opportunities for data-driven improvements Assist with the implementation of Oracle ERP and WMS, contributing data expertise in replacing Legacy systems and helping shape data flows, reporting structures, and integrations from the ground up. Improve processes through predictive analytics and statistical modelling. Create data-driven systems in collaboration with our software development team. Communicate findings clearly and effectively to both technical and non-technical stakeholders. Required Skills: Proven experience (2+ years) in data science, machine learning, and statistical analysis Degree in Data Science, Computer Science, Mathematics, or a related field. Proficiency in Python for data analysis and machine learning. Strong knowledge of data visualization tools (Preferably Power BI). Strong SQL skills - comfortable with joins, subqueries, window functions, and query optimisation Experience with ETL processes and building/maintaining data pipelines. Excellent communication skills, with the ability to explain complex ideas simply. Ability to translate business problems into analytical solutions. Desirable Skills: Experience with Oracle ERP or exposure to large-scale ERP implementation projects. Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud). Exposure to Rust, C# or other object-oriented programming languages. Knowledge of frontend development (HTML, CSS, JavaScript) is a plus. What We Offer You: Competitive Salary: We re open to tailoring the job offer to fit your skills and experience. Environment: Work from our modern Swindon offices. Growth Opportunities: Be part of an ambitious, fast-growing company. Supportive Team: Join a close-knit group that values fresh ideas, innovation, and teamwork. Workplace pension On-site parking, Drinks & Fruit complimentary, Service gifts for 5,10,15 plus years, Increased holiday for long service.
Jun 09, 2026
Full time
ABOUT BG AUTOMOTIVE BG Automotive (BGA) is a leader in the Automotive Aftermarket spares industry, catering to both UK and export markets. At BGA, you will join a dynamic environment where innovation and data-driven decision-making are at the core of our success. As a Data Scientist, you will work on impactful projects that range from advanced analytics and predictive modelling to business intelligence and process optimization. Collaborate with cross-functional teams to extract insights from data and develop solutions that enhance efficiency and drive growth. We are looking for a curious and creative individual with a strong analytical mindset, technological fluency, and a passion for solving complex problems. If you thrive on uncovering insights through data and developing actionable solutions, BGA is the ideal place to advance your career. What you will do: Analyse large and complex datasets to uncover insights and inform decision-making. Design and implement machine learning models to address business challenges. Develop dashboards, reports, and visualizations to present data-driven insights. Collaborate with cross-functional teams to identify opportunities for data-driven improvements Assist with the implementation of Oracle ERP and WMS, contributing data expertise in replacing Legacy systems and helping shape data flows, reporting structures, and integrations from the ground up. Improve processes through predictive analytics and statistical modelling. Create data-driven systems in collaboration with our software development team. Communicate findings clearly and effectively to both technical and non-technical stakeholders. Required Skills: Proven experience (2+ years) in data science, machine learning, and statistical analysis Degree in Data Science, Computer Science, Mathematics, or a related field. Proficiency in Python for data analysis and machine learning. Strong knowledge of data visualization tools (Preferably Power BI). Strong SQL skills - comfortable with joins, subqueries, window functions, and query optimisation Experience with ETL processes and building/maintaining data pipelines. Excellent communication skills, with the ability to explain complex ideas simply. Ability to translate business problems into analytical solutions. Desirable Skills: Experience with Oracle ERP or exposure to large-scale ERP implementation projects. Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud). Exposure to Rust, C# or other object-oriented programming languages. Knowledge of frontend development (HTML, CSS, JavaScript) is a plus. What We Offer You: Competitive Salary: We re open to tailoring the job offer to fit your skills and experience. Environment: Work from our modern Swindon offices. Growth Opportunities: Be part of an ambitious, fast-growing company. Supportive Team: Join a close-knit group that values fresh ideas, innovation, and teamwork. Workplace pension On-site parking, Drinks & Fruit complimentary, Service gifts for 5,10,15 plus years, Increased holiday for long service.
