Lead Data Scientist - Manchester My client is seeking a Lead Data Scientist to own and drive the end-to-end data science strategy across high-impact business domains (e.g., risk, fraud, affordability, customer value). This role will translate complex, real-world financial data into production-grade machine learning systems that deliver measurable commercial and customer outcomes. The successful candidate will lead model development from ideation through deployment and monitoring, working closely with Data Engineers, Analysts, Product, Risk, and Technology stakeholders. They will set standards for experimentation, governance, and MLOps while mentoring and developing other data scientists within the function. This is a hands-on technical leadership role - both strategic and delivery-focused. The Role Strategic & Technical Leadership Define and evolve the data science roadmap aligned to business priorities. Identify high-value ML use cases and translate commercial problems into scalable analytical solutions. Lead end-to-end model lifecycle delivery: problem framing, feature engineering, experimentation, validation, deployment, monitoring, and iteration. Establish best practices for experimentation, evaluation, reproducibility, and documentation. Set standards for model governance, explainability, monitoring, and auditability within a regulated financial environment. Machine Learning & Delivery Architect and develop robust ML models (e.g., classification, regression, anomaly detection) using Python and cloud-based tooling. Design scalable feature pipelines in collaboration with Data Engineering. Lead productionisation efforts, including pipeline design, model versioning, and monitoring frameworks. Implement safe deployment strategies (e.g., champion/challenger models, shadow runs, A/B testing). Ensure model performance, drift detection, and continuous improvement processes are embedded. Stakeholder Engagement Partner with Risk, Compliance, Product, and Technology teams to ensure solutions are commercially viable and regulator-ready. Communicate complex modelling approaches and outcomes clearly to senior stakeholders and non-technical audiences. Influence strategic decision-making through insight and evidence-based recommendations. Governance & Risk • Own model documentation (model cards, lineage, assumptions, validation evidence).• Embed privacy-by-design, fairness, and bias monitoring practices.• Operate confidently within FCA-regulated environments and support audit and regulatory requirements. Team Leadership • Mentor and coach junior and mid-level data scientists.• Lead code reviews and promote engineering best practice (Git, testing, CI/CD awareness).• Contribute to hiring, technical assessment, and capability development.• Foster a culture of curiosity, collaboration, and high performance. About the Candidate The ideal candidate is commercially minded, technically strong, and delivery-focused. They understand that high-quality models create value only when deployed safely and embedded into business processes. They will be comfortable owning ambiguity, setting direction, and raising technical standards. They will combine statistical rigour with pragmatic decision-making and be confident influencing senior stakeholders. They will enjoy mentoring others and developing team capability alongside delivering impactful work. What My Client Is Looking For: • Significant hands-on experience building and deploying machine learning models into production environments.• Strong Python expertise (e.g., pandas, scikit-learn, ML frameworks) with production-quality coding standards.• Advanced SQL skills and deep understanding of relational data.• Strong statistical foundations and model validation expertise.• Experience working within cloud-based data platforms (AWS or equivalent).• Demonstrable experience productionising models and implementing monitoring frameworks.• Experience operating within a regulated environment (financial services preferred).• Ability to communicate effectively with senior stakeholders.• Experience mentoring or leading other data scientists. Desirable • Experience in credit risk, fraud detection, affordability modelling, or payments analytics.• Familiarity with model risk management frameworks.• Exposure to MLOps tooling (CI/CD pipelines, automated testing, model registries).• Experience with model explainability techniques (e.g., SHAP, LIME).• Experience shaping data science roadmaps or leading multiple concurrent initiatives. Benefits Hybrid working Training and development budget Flexible working Interested? Please Click Apply Now! Lead Data Scientist - Manchester
Jun 11, 2026
Full time
Lead Data Scientist - Manchester My client is seeking a Lead Data Scientist to own and drive the end-to-end data science strategy across high-impact business domains (e.g., risk, fraud, affordability, customer value). This role will translate complex, real-world financial data into production-grade machine learning systems that deliver measurable commercial and customer outcomes. The successful candidate will lead model development from ideation through deployment and monitoring, working closely with Data Engineers, Analysts, Product, Risk, and Technology stakeholders. They will set standards for experimentation, governance, and MLOps while mentoring and developing other data scientists within the function. This is a hands-on technical leadership role - both strategic and delivery-focused. The Role Strategic & Technical Leadership Define and evolve the data science roadmap aligned to business priorities. Identify high-value ML use cases and translate commercial problems into scalable analytical solutions. Lead end-to-end model lifecycle delivery: problem framing, feature engineering, experimentation, validation, deployment, monitoring, and iteration. Establish best practices for experimentation, evaluation, reproducibility, and documentation. Set standards for model governance, explainability, monitoring, and auditability within a regulated financial environment. Machine Learning & Delivery Architect and develop robust ML models (e.g., classification, regression, anomaly detection) using Python and cloud-based tooling. Design scalable feature pipelines in collaboration with Data Engineering. Lead productionisation efforts, including pipeline design, model versioning, and monitoring frameworks. Implement safe deployment strategies (e.g., champion/challenger models, shadow runs, A/B testing). Ensure model performance, drift detection, and continuous improvement processes are embedded. Stakeholder Engagement Partner with Risk, Compliance, Product, and Technology teams to ensure solutions are commercially viable and regulator-ready. Communicate complex modelling approaches and outcomes clearly to senior stakeholders and non-technical audiences. Influence strategic decision-making through insight and evidence-based recommendations. Governance & Risk • Own model documentation (model cards, lineage, assumptions, validation evidence).• Embed privacy-by-design, fairness, and bias monitoring practices.• Operate confidently within FCA-regulated environments and support audit and regulatory requirements. Team Leadership • Mentor and coach junior and mid-level data scientists.• Lead code reviews and promote engineering best practice (Git, testing, CI/CD awareness).• Contribute to hiring, technical assessment, and capability development.• Foster a culture of curiosity, collaboration, and high performance. About the Candidate The ideal candidate is commercially minded, technically strong, and delivery-focused. They understand that high-quality models create value only when deployed safely and embedded into business processes. They will be comfortable owning ambiguity, setting direction, and raising technical standards. They will combine statistical rigour with pragmatic decision-making and be confident influencing senior stakeholders. They will enjoy mentoring others and developing team capability alongside delivering impactful work. What My Client Is Looking For: • Significant hands-on experience building and deploying machine learning models into production environments.• Strong Python expertise (e.g., pandas, scikit-learn, ML frameworks) with production-quality coding standards.• Advanced SQL skills and deep understanding of relational data.• Strong statistical foundations and model validation expertise.• Experience working within cloud-based data platforms (AWS or equivalent).• Demonstrable experience productionising models and implementing monitoring frameworks.• Experience operating within a regulated environment (financial services preferred).• Ability to communicate effectively with senior stakeholders.• Experience mentoring or leading other data scientists. Desirable • Experience in credit risk, fraud detection, affordability modelling, or payments analytics.• Familiarity with model risk management frameworks.• Exposure to MLOps tooling (CI/CD pipelines, automated testing, model registries).• Experience with model explainability techniques (e.g., SHAP, LIME).• Experience shaping data science roadmaps or leading multiple concurrent initiatives. Benefits Hybrid working Training and development budget Flexible working Interested? Please Click Apply Now! Lead Data Scientist - Manchester
Data & AI Architect - Hybrid (London) - Azure - Fabric - Modern Data Architecture up to £110,000 If you're looking for a senior role where you can influence how Data & AI is shaped and delivered within a fast-growing Microsoft partner, this is an opportunity that truly stands out. The organisation is investing heavily in modern cloud, analytics and AI and they're building a team where experienced voices can make a real difference. You'll join a culture that values deep expertise, encourages open knowledge-sharing and supports ongoing development. With modern tools, varied client work and a people-focused approach, this is a place where a strong Data & AI leader can have a meaningful impact while helping scale a rapidly expanding data function. You Will Work With Strategic Leadership & Presales Senior and C-suite stakeholders, leading workshops, shaping solutions and commanding the room during presales engagements. Running gap-analysis sessions, contributing to the sales cycle and helping strengthen the organisation's data-led presales capability. Defining architectural direction and guiding programmes from concept to delivery. Microsoft Data & AI Ecosystem The full modern Microsoft data stack: Fabric, Azure Data Factory, Synapse, Azure SQL, Azure Storage and Power BI. Advanced AI technologies including machine learning, generative AI, cognitive services, and responsible AI frameworks. Power Platform & Dataverse A heavy focus on Power Platform and Dataverse, as all customer data interacts with these technologies. Designing scalable enterprise architectures, not ad-hoc integrations. Modern Data Architecture Lakehouse, data mesh, ELT/ETL patterns, MDM and dimensional modelling. Steering the "doers" in the team-architecting the solution, not building it yourself. Team & Practice Growth Mentoring and guiding a growing data team. Helping establish a maturing Data & AI division set for significant expansion over the coming years. Creating reusable accelerators and assets alongside the Product team. Benefits Health & wellness benefits covering medical, dental and eye care, plus health cashback. Car allowance inclusive of salary Cycle to Work scheme. Volunteering leave 24-hour Employee Assistance Programme. Gym and retail discounts. Flexibility to work from anywhere in the world for up to 4 weeks per year. Expected to attend London-based client sessions once per week. Key Experience Strong expertise across Azure data and AI services, including Fabric and ADF. Deep understanding of Dataverse and Power Platform. Demonstrable experience architecting complex, enterprise data and AI platforms. Confident communicator able to own presales and C-suite conversations. Knowledge of Dynamics 365, DevOps pipelines and Agile delivery. Experience with ML, generative AI and cognitive services. Expertise in lakehouse, data mesh, ELT/ETL, MDM and modelling techniques. Ability to guide delivery teams without being the hands-on builder. Willingness to travel for client sessions (primarily London). Ready to Take the Next Step? If you're passionate about leading modern Data & AI architecture, enjoy shaping presales strategy and want to play a key role in scaling a fast-growing division, this is an opportunity you won't want to miss. Apply now!
Jun 11, 2026
Full time
Data & AI Architect - Hybrid (London) - Azure - Fabric - Modern Data Architecture up to £110,000 If you're looking for a senior role where you can influence how Data & AI is shaped and delivered within a fast-growing Microsoft partner, this is an opportunity that truly stands out. The organisation is investing heavily in modern cloud, analytics and AI and they're building a team where experienced voices can make a real difference. You'll join a culture that values deep expertise, encourages open knowledge-sharing and supports ongoing development. With modern tools, varied client work and a people-focused approach, this is a place where a strong Data & AI leader can have a meaningful impact while helping scale a rapidly expanding data function. You Will Work With Strategic Leadership & Presales Senior and C-suite stakeholders, leading workshops, shaping solutions and commanding the room during presales engagements. Running gap-analysis sessions, contributing to the sales cycle and helping strengthen the organisation's data-led presales capability. Defining architectural direction and guiding programmes from concept to delivery. Microsoft Data & AI Ecosystem The full modern Microsoft data stack: Fabric, Azure Data Factory, Synapse, Azure SQL, Azure Storage and Power BI. Advanced AI technologies including machine learning, generative AI, cognitive services, and responsible AI frameworks. Power Platform & Dataverse A heavy focus on Power Platform and Dataverse, as all customer data interacts with these technologies. Designing scalable enterprise architectures, not ad-hoc integrations. Modern Data Architecture Lakehouse, data mesh, ELT/ETL patterns, MDM and dimensional modelling. Steering the "doers" in the team-architecting the solution, not building it yourself. Team & Practice Growth Mentoring and guiding a growing data team. Helping establish a maturing Data & AI division set for significant expansion over the coming years. Creating reusable accelerators and assets alongside the Product team. Benefits Health & wellness benefits covering medical, dental and eye care, plus health cashback. Car allowance inclusive of salary Cycle to Work scheme. Volunteering leave 24-hour Employee Assistance Programme. Gym and retail discounts. Flexibility to work from anywhere in the world for up to 4 weeks per year. Expected to attend London-based client sessions once per week. Key Experience Strong expertise across Azure data and AI services, including Fabric and ADF. Deep understanding of Dataverse and Power Platform. Demonstrable experience architecting complex, enterprise data and AI platforms. Confident communicator able to own presales and C-suite conversations. Knowledge of Dynamics 365, DevOps pipelines and Agile delivery. Experience with ML, generative AI and cognitive services. Expertise in lakehouse, data mesh, ELT/ETL, MDM and modelling techniques. Ability to guide delivery teams without being the hands-on builder. Willingness to travel for client sessions (primarily London). Ready to Take the Next Step? If you're passionate about leading modern Data & AI architecture, enjoy shaping presales strategy and want to play a key role in scaling a fast-growing division, this is an opportunity you won't want to miss. Apply now!
TransUnion's Job Applicant Privacy Notice What We'll Bring: We Are TransUnion: TransUnion is a major credit reference agency, and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance. What You'll Bring: We're looking for a Software Developer to join our growing team. Day to Day You'll Be: Design and build reliable backend systems and infrastructure tooling Use TDD to write high-quality, maintainable code and build out automated test suites Own reliability, observability, and performance of key services Collaborate with clients to understand requirements, debug issues, and propose solutions Drive improvements to system architecture, automation, and deployment processes Mentor junior developers and contribute to a strong engineering culture Take ownership of problems-investigate, iterate, and fix Essential Skills & Experience: Strong programming skills in Node.js or similar backend language Understanding of TDD and a focus on automated testing Comfort working directly with clients to gather requirements and debug issues Strong problem-solving skills and a desire to understand the root cause of complex issues Clear communicator-both in writing and on calls Desirable Skills & Experience: Experience owning backend systems in production environments Experience with Cloud Platforms AWS or GCP Infrastructure-as-code, CI/CD, and observability tooling Experience scaling systems under sustained load Contributions to internal tooling or open source Experience with large datasets and machine learning models Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an excellent salary and bonus scheme or commission scheme (if joining our sales teams) our benefits package comes with: 26 days' annual leave + bank holidays (increasing with service) Global paid wellness days off + a bonus day off to celebrate your birthday A generous contributory pension scheme + access to the TransUnion Employee Stock Purchase Plan Private health care + a variety of physical, mental and financial fitness wellbeing programmes such as access to mindfulness tools Access to our diversity forums and communities so you can get involved in causes close to your heart TransUnion - a place to grow: If there's something on the list of essential / desirable skills that you can't quite tick off, don't let that put you off applying. We are open to exploring training and development opportunities for the right candidate to ensure you are successful. We know imposter syndrome is real, lets confront it so we can continue to grow and thrive together Flexibility at TU: We recognise that our people need the freedom to balance their day-to-day lives with their work. This is why we've set out to create inclusive and flexible policies and practices for you to accommodate all your responsibilities and needs: children, family and beyond. If the role is advertised as full time, don't let this stop you from applying. Let us know if you're looking for a part time or flexible working arrangement and we can discuss this with you. Additional support: At TransUnion, we're committed to fostering an inclusive and diverse workplace where all individual's talents and perspectives are valued. When you apply for a position with us, you're not just joining a team, you're becoming part of a community that celebrates differences and embraces equality. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us by contacting (url removed) Interview & Hiring Process: Most of our recruitment processes are virtual, so you'll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform you of this. We do not accept any unsolicited CV's from recruitment agencies. If you are a recruitment agency on our PSL our talent team will contact you directly should we require any assistance. Find out more about Life At TU UK: (url removed) Job Title Developer, Applications Development
Jun 11, 2026
Full time
TransUnion's Job Applicant Privacy Notice What We'll Bring: We Are TransUnion: TransUnion is a major credit reference agency, and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance. What You'll Bring: We're looking for a Software Developer to join our growing team. Day to Day You'll Be: Design and build reliable backend systems and infrastructure tooling Use TDD to write high-quality, maintainable code and build out automated test suites Own reliability, observability, and performance of key services Collaborate with clients to understand requirements, debug issues, and propose solutions Drive improvements to system architecture, automation, and deployment processes Mentor junior developers and contribute to a strong engineering culture Take ownership of problems-investigate, iterate, and fix Essential Skills & Experience: Strong programming skills in Node.js or similar backend language Understanding of TDD and a focus on automated testing Comfort working directly with clients to gather requirements and debug issues Strong problem-solving skills and a desire to understand the root cause of complex issues Clear communicator-both in writing and on calls Desirable Skills & Experience: Experience owning backend systems in production environments Experience with Cloud Platforms AWS or GCP Infrastructure-as-code, CI/CD, and observability tooling Experience scaling systems under sustained load Contributions to internal tooling or open source Experience with large datasets and machine learning models Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an excellent salary and bonus scheme or commission scheme (if joining our sales teams) our benefits package comes with: 26 days' annual leave + bank holidays (increasing with service) Global paid wellness days off + a bonus day off to celebrate your birthday A generous contributory pension scheme + access to the TransUnion Employee Stock Purchase Plan Private health care + a variety of physical, mental and financial fitness wellbeing programmes such as access to mindfulness tools Access to our diversity forums and communities so you can get involved in causes close to your heart TransUnion - a place to grow: If there's something on the list of essential / desirable skills that you can't quite tick off, don't let that put you off applying. We are open to exploring training and development opportunities for the right candidate to ensure you are successful. We know imposter syndrome is real, lets confront it so we can continue to grow and thrive together Flexibility at TU: We recognise that our people need the freedom to balance their day-to-day lives with their work. This is why we've set out to create inclusive and flexible policies and practices for you to accommodate all your responsibilities and needs: children, family and beyond. If the role is advertised as full time, don't let this stop you from applying. Let us know if you're looking for a part time or flexible working arrangement and we can discuss this with you. Additional support: At TransUnion, we're committed to fostering an inclusive and diverse workplace where all individual's talents and perspectives are valued. When you apply for a position with us, you're not just joining a team, you're becoming part of a community that celebrates differences and embraces equality. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us by contacting (url removed) Interview & Hiring Process: Most of our recruitment processes are virtual, so you'll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform you of this. We do not accept any unsolicited CV's from recruitment agencies. If you are a recruitment agency on our PSL our talent team will contact you directly should we require any assistance. Find out more about Life At TU UK: (url removed) Job Title Developer, Applications Development
Are you the next Senior Systems Engineer to help build and shape the software behind our next generation laser processing platform? If so, Opsydia would love to hear from you as we expand into new markets and unlock new technical opportunities. Spun out from the University of Oxford in 2017, Opsydia is a specialist laser technology company harnessing decades of academic excellence and deep expertise in adaptive optics to enable the writing of features in transparent materials. Our writing technology has gone on to provide functionalities across scientific and industrial domains. Our platform enables the creation of functional devices in optical glass, diamond, and other transparent media, powering disruptive applications in datacoms, quantum technologies, and advanced sensing. THE ROLE As a Senior Systems Engineer, you will take full system-level ownership of Opsydia s next generation laser photonics products. This is a technical leadership role spanning architecture, integration, verification, and productization, ensuring that complex opto electro mechanical subsystems come together into robust, high performance solutions. You will lead the definition, design, and delivery of complete systems, balancing photonics, precision mechanics, automation, software, reliability engineering, and manufacturability. Working across early stage R&D, customer engagements, and product development, you will play a key role in shaping Opsydia s technical roadmap and maturing prototypes into deliverable, field ready products. Key Responsibilities End to End Systems Ownership o Lead system architecture from concept through requirements, detailed design, prototyping, verification, and release. o Develop system level specifications, performance budgets, and risk models across optical, mechanical, electrical, and software domains. o Define and drive processes for system integration, validation, and troubleshooting. Ultrafast Laser & Photonics Systems o Integrate and optimise femtosecond laser sources for high precision laser matter interaction applications. o Collaborate with laser manufacturers to define specifications, validate performance, and ensure long term stability and repeatability. o Manage system level trade offs involving beam delivery, adaptive optics, power stability, thermal management, and alignment tolerances. Precision Motion & Opto Mechanical Integration o Architect and integrate high precision motion systems (piezo, air bearing, linear motor) with sub micron or nanometre level stability. o Oversee opto mechanical design for robustness in industrial environments, ensuring vibration control, thermal stability, and reliability. o Work closely with the Software Team to achieve coordinated laser stage performance. System Integration & Verification o Combine lasers, adaptive optics, motion control, electronics, and machine vision into fully functional, production ready systems. o Use optical modelling and simulation tools to optimise performance and minimise error sources. o Develop verification plans, test procedures, and system level fault analysis frameworks. Automation, Control & Safety o Define system level control methodologies and sequencing alongside the Software Team. o Ensure full compliance with international laser safety standards and implement appropriate interlocks, monitoring, and diagnostic features. o Contribute to automation and workflow design that enhances stability, repeatability, and throughput. ABOUT YOU You will have a deep technical background with extensive of experience in photonics, laser systems, or precision instrumentation, ideally holding an advanced degree (Ph.D. or Master s) in Physics, Optical Engineering, or a related field. You take full accountability for delivering complex projects from concept to deployment, ensuring technical excellence and timely execution within a collaborative team environment You will be able to demonstrate the following: Expertise in ultrafast laser applications, including femtosecond systems and adaptive optics. Proven experience developing and integrating precision motion-controlled stages for high-accuracy processes. Strong background in photonics-based applications, from fibre coupling to photonic integrated circuits. Ability to architect and optimise complex optical systems, including adaptive optics and machine vision elements. A proactive, solution-oriented approach to technical challenges. Exceptional organisational, documentation, and communication skills for cross-functional collaboration. For this senior role, we expect applicants with significant experience in metrology, optics, and control systems, ideally with exposure to industrial-grade system integration and supplier engagement. You might also have: Practical knowledge of adaptive optics for beam shaping and correction. Expertise in waveguide fabrication or optical fibre performance characterization. Familiarity with mechanical design and optical simulation tools. Proven ability to configure and optimize precision motion control systems (piezo, air-bearing, interferometric feedback). Competence in automation and scripting for system control (Python, MATLAB, LabVIEW). Experience with advanced microscopy and analytical techniques. Track record of developing products and producing documentation for regulatory compliance. Understanding of intellectual property development and technology protection strategies. Previous involvement in project planning, risk assessment, and technical reporting. If you don't meet all of the criteria above, but are interested in the role, please apply or get in touch to discuss further. The role is advertised as full-time. We are pleased to accommodate flexible and hybrid working where appropriate but, as a hardware company, we find hands-on system and collaboration time to be highly valuable, so encourage time spent in the office and expect this when required. As part of the recruitment process a selected candidate will be required to undergo security screening to BPSS standard. Closing date: Friday 10th July 2026. Applications will be reviewed as received so this vacancy may be closed earlier; early applications are therefore encouraged. WHAT WE OFFER YOU Salary range: £54,000-£58,000 dependant on experience. Benefits Hybrid & flexible working arrangements Share option scheme Annual bonus scheme Private Medical Insurance Group Income Protection and Life Assurance Enhanced family leave Company matched pension contributions up to 5%. Salary sacrifice arrangement is available 25 days paid leave plus bank holidays Cycle to Work Scheme Mental Health and Wellbeing support and activities Supported further study or training for your professional and personal development Volunteering opportunities EQUAL OPPORTUNITIES We are an equal opportunities employer and commit to encouraging equality, diversity and inclusion in the workplace whilst creating an environment which promotes dignity and respect for all. We post our job descriptions across a wide range of recruitment platforms to enable us to garner the most diverse range of candidates we possibly can. ADJUSTMENTS AND PROVISIONS We are dedicated to putting in place any reasonable adjustments that may be required to meet the needs of those who wish to apply for a position at Opsydia. Please share if you have a declared disability, for example but not limited to: a social communication impairment such as autism spectrum disorder, a specific learning difficulty such as dyslexia, dyspraxia or ADHD; a mental health condition, a sensory impairment affecting sight or hearing or a physical or mobility impairment. ALTERNATIVE FORMATS We can provide our job descriptions in an alternative format of video or audio description ABOUT OPSYDIA Opsydia provides commercial systems based on adaptive optics which can directly generate photonic structures in a variety of transparent materials. Learn more at The company is based in the Centre for Innovation & Enterprise at Begbroke Science Park north of Oxford. Begbroke offers comprehensive facilities on-site including a restaurant, coffee shop, free parking and a minibus service between the park and Oxford. Your data will be held in line with our recruitment privacy policy available at
Jun 11, 2026
Full time
Are you the next Senior Systems Engineer to help build and shape the software behind our next generation laser processing platform? If so, Opsydia would love to hear from you as we expand into new markets and unlock new technical opportunities. Spun out from the University of Oxford in 2017, Opsydia is a specialist laser technology company harnessing decades of academic excellence and deep expertise in adaptive optics to enable the writing of features in transparent materials. Our writing technology has gone on to provide functionalities across scientific and industrial domains. Our platform enables the creation of functional devices in optical glass, diamond, and other transparent media, powering disruptive applications in datacoms, quantum technologies, and advanced sensing. THE ROLE As a Senior Systems Engineer, you will take full system-level ownership of Opsydia s next generation laser photonics products. This is a technical leadership role spanning architecture, integration, verification, and productization, ensuring that complex opto electro mechanical subsystems come together into robust, high performance solutions. You will lead the definition, design, and delivery of complete systems, balancing photonics, precision mechanics, automation, software, reliability engineering, and manufacturability. Working across early stage R&D, customer engagements, and product development, you will play a key role in shaping Opsydia s technical roadmap and maturing prototypes into deliverable, field ready products. Key Responsibilities End to End Systems Ownership o Lead system architecture from concept through requirements, detailed design, prototyping, verification, and release. o Develop system level specifications, performance budgets, and risk models across optical, mechanical, electrical, and software domains. o Define and drive processes for system integration, validation, and troubleshooting. Ultrafast Laser & Photonics Systems o Integrate and optimise femtosecond laser sources for high precision laser matter interaction applications. o Collaborate with laser manufacturers to define specifications, validate performance, and ensure long term stability and repeatability. o Manage system level trade offs involving beam delivery, adaptive optics, power stability, thermal management, and alignment tolerances. Precision Motion & Opto Mechanical Integration o Architect and integrate high precision motion systems (piezo, air bearing, linear motor) with sub micron or nanometre level stability. o Oversee opto mechanical design for robustness in industrial environments, ensuring vibration control, thermal stability, and reliability. o Work closely with the Software Team to achieve coordinated laser stage performance. System Integration & Verification o Combine lasers, adaptive optics, motion control, electronics, and machine vision into fully functional, production ready systems. o Use optical modelling and simulation tools to optimise performance and minimise error sources. o Develop verification plans, test procedures, and system level fault analysis frameworks. Automation, Control & Safety o Define system level control methodologies and sequencing alongside the Software Team. o Ensure full compliance with international laser safety standards and implement appropriate interlocks, monitoring, and diagnostic features. o Contribute to automation and workflow design that enhances stability, repeatability, and throughput. ABOUT YOU You will have a deep technical background with extensive of experience in photonics, laser systems, or precision instrumentation, ideally holding an advanced degree (Ph.D. or Master s) in Physics, Optical Engineering, or a related field. You take full accountability for delivering complex projects from concept to deployment, ensuring technical excellence and timely execution within a collaborative team environment You will be able to demonstrate the following: Expertise in ultrafast laser applications, including femtosecond systems and adaptive optics. Proven experience developing and integrating precision motion-controlled stages for high-accuracy processes. Strong background in photonics-based applications, from fibre coupling to photonic integrated circuits. Ability to architect and optimise complex optical systems, including adaptive optics and machine vision elements. A proactive, solution-oriented approach to technical challenges. Exceptional organisational, documentation, and communication skills for cross-functional collaboration. For this senior role, we expect applicants with significant experience in metrology, optics, and control systems, ideally with exposure to industrial-grade system integration and supplier engagement. You might also have: Practical knowledge of adaptive optics for beam shaping and correction. Expertise in waveguide fabrication or optical fibre performance characterization. Familiarity with mechanical design and optical simulation tools. Proven ability to configure and optimize precision motion control systems (piezo, air-bearing, interferometric feedback). Competence in automation and scripting for system control (Python, MATLAB, LabVIEW). Experience with advanced microscopy and analytical techniques. Track record of developing products and producing documentation for regulatory compliance. Understanding of intellectual property development and technology protection strategies. Previous involvement in project planning, risk assessment, and technical reporting. If you don't meet all of the criteria above, but are interested in the role, please apply or get in touch to discuss further. The role is advertised as full-time. We are pleased to accommodate flexible and hybrid working where appropriate but, as a hardware company, we find hands-on system and collaboration time to be highly valuable, so encourage time spent in the office and expect this when required. As part of the recruitment process a selected candidate will be required to undergo security screening to BPSS standard. Closing date: Friday 10th July 2026. Applications will be reviewed as received so this vacancy may be closed earlier; early applications are therefore encouraged. WHAT WE OFFER YOU Salary range: £54,000-£58,000 dependant on experience. Benefits Hybrid & flexible working arrangements Share option scheme Annual bonus scheme Private Medical Insurance Group Income Protection and Life Assurance Enhanced family leave Company matched pension contributions up to 5%. Salary sacrifice arrangement is available 25 days paid leave plus bank holidays Cycle to Work Scheme Mental Health and Wellbeing support and activities Supported further study or training for your professional and personal development Volunteering opportunities EQUAL OPPORTUNITIES We are an equal opportunities employer and commit to encouraging equality, diversity and inclusion in the workplace whilst creating an environment which promotes dignity and respect for all. We post our job descriptions across a wide range of recruitment platforms to enable us to garner the most diverse range of candidates we possibly can. ADJUSTMENTS AND PROVISIONS We are dedicated to putting in place any reasonable adjustments that may be required to meet the needs of those who wish to apply for a position at Opsydia. Please share if you have a declared disability, for example but not limited to: a social communication impairment such as autism spectrum disorder, a specific learning difficulty such as dyslexia, dyspraxia or ADHD; a mental health condition, a sensory impairment affecting sight or hearing or a physical or mobility impairment. ALTERNATIVE FORMATS We can provide our job descriptions in an alternative format of video or audio description ABOUT OPSYDIA Opsydia provides commercial systems based on adaptive optics which can directly generate photonic structures in a variety of transparent materials. Learn more at The company is based in the Centre for Innovation & Enterprise at Begbroke Science Park north of Oxford. Begbroke offers comprehensive facilities on-site including a restaurant, coffee shop, free parking and a minibus service between the park and Oxford. Your data will be held in line with our recruitment privacy policy available at
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you. Role Title: Security Architect Location: Hybrid 60% office-40% remote Client Technology Centre Radbroke, Knutsford WA16 9EU Duration: 27/11/2026 Rate: £582/Day MUST BE PAYE THROUGH UMBRELLA Role Description: Technology platforms: Expert knowledge in at least one industry-leading AI/GenAI security platform or framework, including tools for model governance, data privacy, and risk mitigation-such as Azure AI Security, AWS AI Guardrails, Google Vertex AI Security, IBM Watson OpenScale, or equivalent solutions. Job Description: As an experienced AI Security Engineer, you will play a critical role in advancing our data and AI security capabilities across the organisation. You will help shape the next generation of our data security platform, driving innovation, resilience, and automation at scale. Your expertise will expand the product roadmap, enhance our security posture, and ensure we proactively identify, mitigate, and respond to risks associated with both traditional data systems and emerging GenAI technologies. In this role, you will combine practical engineering experience with deep knowledge of Data Security, AI Security, and cloud-native security practices. Your work will draw on insights from enterprise scanning across Data Loss Prevention (DLP), Data Privacy and Protection, GenAI specific, SIEM (Security Information and Event Management), and vulnerability management security controls. Primary Responsibilities: Drive enhancements to the AI/GenAI security platform and scanning infrastructure, ensuring alignment with strategic goals and approved budgets. Work alongside engineers to contribute to Design, build, and optimise cloud-native Data & GenAI Security services Support stakeholders in leveraging and adopting the latest Data & GenAI Security cloud-native application architectures. Ensure all Data Security architecture and cloud infrastructure accommodates the latest security and software life cycle patterns. Standard Technical Skills & Competencies: Experience conducting threat modelling, penetration testing, and vulnerability assessments across AI/ML ecosystems, including data pipelines, model APIs, and supporting infrastructure. Hands on expertise with core cybersecurity technologies, such as Firewalls, SIEM platforms, IDS/IPS, and related security tooling. Proficiency in Python, with the ability to develop automation, security tooling, and data driven scripts. Strong understanding of secure software development practices, including OWASP principles and DevSecOps methodologies integrated into CI/CD workflows. Experience securing cloud and AI workloads on major cloud platforms such as AWS and Azure. Working knowledge of machine learning concepts, data processing techniques, and common AI/ML frameworks (eg, PyTorch, Scikit learn, LangChain) - considered a strong advantage. Threat Analysis & Vulnerability Assessment: Conduct regular threat assessments to identify vulnerabilities in AI/ML systems. Develop benchmarks, tools and scripts to automate vulnerability testing for AI/ML applications. Perform code reviews and penetration testing of AI-related software. Research & Development: Stay updated on emerging trends, technologies, and best practices in AI/ML security. Execute PoCs/PoVs to evaluate emerging trends, technologies and practices in the industry. Create high quality technical documentation and user guides Contribute to the development of cutting-edge AI/ML security tools and techniques. Additional experience: Risk Management and working experience and understanding different delivery methods, eg Scrum, Kanban, JIRA, Agile etc Experience in working end to end with software development life cycles. 5+ years in DevOps, Security Engineering, or Infrastructure roles. Desirable: Previous experience in the financial/regulated sector Bachelor's degree (or higher) in a related discipline Certified GenAI and LLM Cybersecurity Professional (CGLCP), Certified GenAI and LLM Cybersecurity Professional - Security Professionals (CGLCP SP) AWS Certified AI Practitioner or CISSP (Certified Information Systems Security Professional If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.
Jun 11, 2026
Contractor
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you. Role Title: Security Architect Location: Hybrid 60% office-40% remote Client Technology Centre Radbroke, Knutsford WA16 9EU Duration: 27/11/2026 Rate: £582/Day MUST BE PAYE THROUGH UMBRELLA Role Description: Technology platforms: Expert knowledge in at least one industry-leading AI/GenAI security platform or framework, including tools for model governance, data privacy, and risk mitigation-such as Azure AI Security, AWS AI Guardrails, Google Vertex AI Security, IBM Watson OpenScale, or equivalent solutions. Job Description: As an experienced AI Security Engineer, you will play a critical role in advancing our data and AI security capabilities across the organisation. You will help shape the next generation of our data security platform, driving innovation, resilience, and automation at scale. Your expertise will expand the product roadmap, enhance our security posture, and ensure we proactively identify, mitigate, and respond to risks associated with both traditional data systems and emerging GenAI technologies. In this role, you will combine practical engineering experience with deep knowledge of Data Security, AI Security, and cloud-native security practices. Your work will draw on insights from enterprise scanning across Data Loss Prevention (DLP), Data Privacy and Protection, GenAI specific, SIEM (Security Information and Event Management), and vulnerability management security controls. Primary Responsibilities: Drive enhancements to the AI/GenAI security platform and scanning infrastructure, ensuring alignment with strategic goals and approved budgets. Work alongside engineers to contribute to Design, build, and optimise cloud-native Data & GenAI Security services Support stakeholders in leveraging and adopting the latest Data & GenAI Security cloud-native application architectures. Ensure all Data Security architecture and cloud infrastructure accommodates the latest security and software life cycle patterns. Standard Technical Skills & Competencies: Experience conducting threat modelling, penetration testing, and vulnerability assessments across AI/ML ecosystems, including data pipelines, model APIs, and supporting infrastructure. Hands on expertise with core cybersecurity technologies, such as Firewalls, SIEM platforms, IDS/IPS, and related security tooling. Proficiency in Python, with the ability to develop automation, security tooling, and data driven scripts. Strong understanding of secure software development practices, including OWASP principles and DevSecOps methodologies integrated into CI/CD workflows. Experience securing cloud and AI workloads on major cloud platforms such as AWS and Azure. Working knowledge of machine learning concepts, data processing techniques, and common AI/ML frameworks (eg, PyTorch, Scikit learn, LangChain) - considered a strong advantage. Threat Analysis & Vulnerability Assessment: Conduct regular threat assessments to identify vulnerabilities in AI/ML systems. Develop benchmarks, tools and scripts to automate vulnerability testing for AI/ML applications. Perform code reviews and penetration testing of AI-related software. Research & Development: Stay updated on emerging trends, technologies, and best practices in AI/ML security. Execute PoCs/PoVs to evaluate emerging trends, technologies and practices in the industry. Create high quality technical documentation and user guides Contribute to the development of cutting-edge AI/ML security tools and techniques. Additional experience: Risk Management and working experience and understanding different delivery methods, eg Scrum, Kanban, JIRA, Agile etc Experience in working end to end with software development life cycles. 5+ years in DevOps, Security Engineering, or Infrastructure roles. Desirable: Previous experience in the financial/regulated sector Bachelor's degree (or higher) in a related discipline Certified GenAI and LLM Cybersecurity Professional (CGLCP), Certified GenAI and LLM Cybersecurity Professional - Security Professionals (CGLCP SP) AWS Certified AI Practitioner or CISSP (Certified Information Systems Security Professional If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.
AI Architect 6 Months Must have or be eligible for SC Clearance TBC (Inside IR35) My client, a government body are looking for an AI Architect to join their fast-paced team on an initial 6 month contract. As an AI Architect, you will be part of a team of specialists who work with our industry-facing client partners to shape, design and deliver AI solutions to our clients. This is a fast-paced area of IT, so you will need to be continuously learning, be self-driven and think creatively about solving client problems. You will work with others to reflect back the views of our clients and prospects and help to continuously shape our solutions. On the job details- Designing and implementing innovative AI solutions that meet client needs and drive business value. Collaborating with cross-functional teams to integrate AI technologies into existing systems and processes. Demonstrating modern AI solutions to clients, showcasing their benefits and applications. Conducting research and analysis to stay updated on the latest AI trends and technologies. Communicating complex AI concepts and solutions to stakeholders in a clear and engaging manner. Distilling information about proposed architectures into actionable insights for developers to implement those solutions effectively. Creating and managing agents, knowledge graphs and chatbots to enhance user experience and efficiency. Architecting and leading the implementation of AI harness engineering ecosystems and agentic solutions using platforms such as Claude Code, Claude Agent SDK, Codex, and related AI engineering toolchains. Developing and optimizing AI models using machine learning and AI engineering platforms. Mentoring and guiding team members to foster a culture of continuous learning and innovation in AI. Skills and Experience required- Strong experience with Solution Architecture, with specific recent focus on AI and Generative AI solutions, demonstrating a strong understanding of current trends and technologies. Proven ability to architect and deploy innovative AI solutions under tight deadlines, effectively showcasing these solutions to client stakeholders and communicating their business impact. Experience in providing solutions using Agent Harness, Retrieval-Augmented Generation (RAG), GraphRAG, knowledge graphs, code agents, deep research agents, and chatbots. Familiarity with AI engineering platforms (Azure AI Foundry, AWS Bedrock). Knowledge of agentic frameworks (Claude Agent SDK, AWS Bedrock AgentCore, MS Agent Framework, Langgraph Deep Agents,) and machine learning platforms for model training and deployment. Strong problem-solving skills, a proactive attitude, and an entrepreneurial mindset with a commitment to continuous learning. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Jun 11, 2026
Contractor
AI Architect 6 Months Must have or be eligible for SC Clearance TBC (Inside IR35) My client, a government body are looking for an AI Architect to join their fast-paced team on an initial 6 month contract. As an AI Architect, you will be part of a team of specialists who work with our industry-facing client partners to shape, design and deliver AI solutions to our clients. This is a fast-paced area of IT, so you will need to be continuously learning, be self-driven and think creatively about solving client problems. You will work with others to reflect back the views of our clients and prospects and help to continuously shape our solutions. On the job details- Designing and implementing innovative AI solutions that meet client needs and drive business value. Collaborating with cross-functional teams to integrate AI technologies into existing systems and processes. Demonstrating modern AI solutions to clients, showcasing their benefits and applications. Conducting research and analysis to stay updated on the latest AI trends and technologies. Communicating complex AI concepts and solutions to stakeholders in a clear and engaging manner. Distilling information about proposed architectures into actionable insights for developers to implement those solutions effectively. Creating and managing agents, knowledge graphs and chatbots to enhance user experience and efficiency. Architecting and leading the implementation of AI harness engineering ecosystems and agentic solutions using platforms such as Claude Code, Claude Agent SDK, Codex, and related AI engineering toolchains. Developing and optimizing AI models using machine learning and AI engineering platforms. Mentoring and guiding team members to foster a culture of continuous learning and innovation in AI. Skills and Experience required- Strong experience with Solution Architecture, with specific recent focus on AI and Generative AI solutions, demonstrating a strong understanding of current trends and technologies. Proven ability to architect and deploy innovative AI solutions under tight deadlines, effectively showcasing these solutions to client stakeholders and communicating their business impact. Experience in providing solutions using Agent Harness, Retrieval-Augmented Generation (RAG), GraphRAG, knowledge graphs, code agents, deep research agents, and chatbots. Familiarity with AI engineering platforms (Azure AI Foundry, AWS Bedrock). Knowledge of agentic frameworks (Claude Agent SDK, AWS Bedrock AgentCore, MS Agent Framework, Langgraph Deep Agents,) and machine learning platforms for model training and deployment. Strong problem-solving skills, a proactive attitude, and an entrepreneurial mindset with a commitment to continuous learning. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
AI Engineer Are you ready to build the future of AI from the ground up? Our client are not buying off-the-shelf solutions. They're custom-building everything - from infrastructure to intelligent agents - to create a best-in-class AI platform that redefines what's possible in enterprise automation. We're currently looking for a high-impact AI Engineer to join their London-based team and help design and develop agentic AI systems that can reason, plan, and act autonomously across complex business domains. What You'll Be Doing Designing and implementing agentic AI systems capable of autonomous decision-making and task execution. Building custom LLM pipelines, memory architectures, and tool-use frameworks. Collaborating with product and engineering teams to integrate AI into real-world workflows. Contributing to the development of our proprietary AI platform - no plug-and-play, all innovation. What We're Looking For Proven experience in building AI/ML systems, ideally with Azure OpenAI, Azure Cognitive Services Azure Machine Learning. Strong Python skills and familiarity with modern AI frameworks (e.g., LangChain, Hugging Face, PyTorch). Deep understanding of LLMs, vector databases, prompt engineering, and multi-agent systems. Passion for building from scratch - you thrive in greenfield environments. Based in or near London, with the ability to be onsite once a week. Why Join Us? Be part of a visionary team building something truly unique. Work on cutting-edge AI challenges with full ownership and creative freedom. Hybrid flexibility with a vibrant London office. Competitive salary, equity options, and a culture of innovation. Strong Python skills and familiarity with modern AI frameworks (e.g., LangChain, Hugging Face, PyTorch). Deep understanding of LLMs, vector databases, prompt engineering, and multi-agent systems. Passion for building from scratch - you thrive in greenfield environments. Based in London, with the ability to be onsite once a week. Why Join Us? Be part of a visionary team building something truly unique. Work on cutting-edge AI challenges with full ownership and creative freedom. Hybrid flexibility with a vibrant London office. Competitive salary, equity options, and a culture of innovation. To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
Jun 11, 2026
Full time
AI Engineer Are you ready to build the future of AI from the ground up? Our client are not buying off-the-shelf solutions. They're custom-building everything - from infrastructure to intelligent agents - to create a best-in-class AI platform that redefines what's possible in enterprise automation. We're currently looking for a high-impact AI Engineer to join their London-based team and help design and develop agentic AI systems that can reason, plan, and act autonomously across complex business domains. What You'll Be Doing Designing and implementing agentic AI systems capable of autonomous decision-making and task execution. Building custom LLM pipelines, memory architectures, and tool-use frameworks. Collaborating with product and engineering teams to integrate AI into real-world workflows. Contributing to the development of our proprietary AI platform - no plug-and-play, all innovation. What We're Looking For Proven experience in building AI/ML systems, ideally with Azure OpenAI, Azure Cognitive Services Azure Machine Learning. Strong Python skills and familiarity with modern AI frameworks (e.g., LangChain, Hugging Face, PyTorch). Deep understanding of LLMs, vector databases, prompt engineering, and multi-agent systems. Passion for building from scratch - you thrive in greenfield environments. Based in or near London, with the ability to be onsite once a week. Why Join Us? Be part of a visionary team building something truly unique. Work on cutting-edge AI challenges with full ownership and creative freedom. Hybrid flexibility with a vibrant London office. Competitive salary, equity options, and a culture of innovation. Strong Python skills and familiarity with modern AI frameworks (e.g., LangChain, Hugging Face, PyTorch). Deep understanding of LLMs, vector databases, prompt engineering, and multi-agent systems. Passion for building from scratch - you thrive in greenfield environments. Based in London, with the ability to be onsite once a week. Why Join Us? Be part of a visionary team building something truly unique. Work on cutting-edge AI challenges with full ownership and creative freedom. Hybrid flexibility with a vibrant London office. Competitive salary, equity options, and a culture of innovation. To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
We're partnering with a globally recognised consulting firm that's investing heavily in AI innovation and searching for a Senior Principal AI Engineer to play a pivotal role in shaping and delivering cutting-edge, real-world AI solutions across a diverse client portfolio. This is a rare opportunity to build and lead an AI capability from the ground up, while staying hands-on with the latest technologies, from Machine Learning and Data Science through to GenAI. You'll work at the intersection of technical excellence and client impact, solving meaningful business problems at scale. You will get the opportunity to lead the design and delivery of production-grade AI solutions for global clients whilst building and mentoring a high performing team. Alongside this, you will be able to stay hands on with modern AI technologies including LLMs and GenAI What You'll Be Doing Designing, building, and deploying end-to-end AI/ML systems (from classical ML to GenAI) Developing robust, production-ready pipelines covering data ingestion, modelling, deployment, and monitoring Driving best-in-class MLOps practices, including CI/CD, model versioning, automated retraining, and rollback strategies Ensuring solutions are scalable, secure, and high-performing in real-world environments Defining future-proof AI architectures aligned with client goals Assessing and applying emerging technologies (eg LLMs, vector databases) where they create tangible value Partnering with clients during discovery, demos, and delivery-translating business needs into technical solutions Mentoring and developing engineers and data scientists through hands-on leadership What We're Looking For Strong software engineering background (Python essential) Demonstrated success delivering production-ready AI/ML solutions Hands-on experience with frameworks such as PyTorch, TensorFlow, or Scikit-Learn Solid understanding of MLOps and scalable deployment practices Experience with at least one major cloud platform (Azure, AWS, or GCP) Comfortable in client-facing environments, able to communicate complex ideas clearly Consulting experience is not essential, but confidence working with stakeholders, presenting ideas, and guiding decisions is key. Hybrid work model: 2-3 days/week in the office (London) Salary: £100 000 - £120 000 depending on experience + 10-15% bonus
Jun 11, 2026
Full time
We're partnering with a globally recognised consulting firm that's investing heavily in AI innovation and searching for a Senior Principal AI Engineer to play a pivotal role in shaping and delivering cutting-edge, real-world AI solutions across a diverse client portfolio. This is a rare opportunity to build and lead an AI capability from the ground up, while staying hands-on with the latest technologies, from Machine Learning and Data Science through to GenAI. You'll work at the intersection of technical excellence and client impact, solving meaningful business problems at scale. You will get the opportunity to lead the design and delivery of production-grade AI solutions for global clients whilst building and mentoring a high performing team. Alongside this, you will be able to stay hands on with modern AI technologies including LLMs and GenAI What You'll Be Doing Designing, building, and deploying end-to-end AI/ML systems (from classical ML to GenAI) Developing robust, production-ready pipelines covering data ingestion, modelling, deployment, and monitoring Driving best-in-class MLOps practices, including CI/CD, model versioning, automated retraining, and rollback strategies Ensuring solutions are scalable, secure, and high-performing in real-world environments Defining future-proof AI architectures aligned with client goals Assessing and applying emerging technologies (eg LLMs, vector databases) where they create tangible value Partnering with clients during discovery, demos, and delivery-translating business needs into technical solutions Mentoring and developing engineers and data scientists through hands-on leadership What We're Looking For Strong software engineering background (Python essential) Demonstrated success delivering production-ready AI/ML solutions Hands-on experience with frameworks such as PyTorch, TensorFlow, or Scikit-Learn Solid understanding of MLOps and scalable deployment practices Experience with at least one major cloud platform (Azure, AWS, or GCP) Comfortable in client-facing environments, able to communicate complex ideas clearly Consulting experience is not essential, but confidence working with stakeholders, presenting ideas, and guiding decisions is key. Hybrid work model: 2-3 days/week in the office (London) Salary: £100 000 - £120 000 depending on experience + 10-15% bonus
Lead AI & Data Scientist Global Professional Services Firm Location: London Working: Hybrid (3 days office / 2 days remote) Salary: Up to £140k + bonus & benefitsThe RoleA senior leadership opportunity within a global professional services organisation investing heavily in Data & AI.You'll play a key role in shaping and delivering the firm's AI roadmap, working closely with senior stakeholders to identify high-value use cases and take them from concept through to production.This is a hands-on leadership role combining Data Science, GenAI, Solution Architecture and stakeholder engagement, focused on delivering AI-powered solutions that drive measurable business impact.Key Responsibilities Define the technical strategy for Data & AI initiatives across the business Lead the design and delivery of GenAI, NLP, Machine Learning and RAGbased solutions Translate complex business challenges into scalable AI products and capabilities Own architecture patterns covering orchestration, retrieval, monitoring, evaluation and governance Deliver AI use cases across document intelligence, knowledge search, workflow automation and AI assistants Partner with business, product and engineering teams to embed AI into core processes Evaluate emerging AI technologies and thirdparty vendors Establish best practice around Responsible AI, model evaluation and production deployment Mentor Data Scientists and provide technical leadership across delivery teams Key Requirements Proven experience leading Data Science, Machine Learning or GenAI initiatives within complex organisations Experience building and deploying LLMpowered applications Strong knowledge of RAG, embeddings, vector databases and retrieval architectures Experience with Azure, Databricks and modern cloudbased AI platforms Track record delivering AI solutions into production environments Experience defining governance, monitoring and Responsible AI controls Excellent stakeholder management and communication skills Experience delivering AI solutions across documentheavy environments, particularly legal services, would be advantageous This is an opportunity to shape how AI is adopted across a global organisation and play a leading role in moving innovative AI solutions from concept to enterprise-scale deployment.No sponsorship available.Get in touch for more details - McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
Jun 11, 2026
Full time
Lead AI & Data Scientist Global Professional Services Firm Location: London Working: Hybrid (3 days office / 2 days remote) Salary: Up to £140k + bonus & benefitsThe RoleA senior leadership opportunity within a global professional services organisation investing heavily in Data & AI.You'll play a key role in shaping and delivering the firm's AI roadmap, working closely with senior stakeholders to identify high-value use cases and take them from concept through to production.This is a hands-on leadership role combining Data Science, GenAI, Solution Architecture and stakeholder engagement, focused on delivering AI-powered solutions that drive measurable business impact.Key Responsibilities Define the technical strategy for Data & AI initiatives across the business Lead the design and delivery of GenAI, NLP, Machine Learning and RAGbased solutions Translate complex business challenges into scalable AI products and capabilities Own architecture patterns covering orchestration, retrieval, monitoring, evaluation and governance Deliver AI use cases across document intelligence, knowledge search, workflow automation and AI assistants Partner with business, product and engineering teams to embed AI into core processes Evaluate emerging AI technologies and thirdparty vendors Establish best practice around Responsible AI, model evaluation and production deployment Mentor Data Scientists and provide technical leadership across delivery teams Key Requirements Proven experience leading Data Science, Machine Learning or GenAI initiatives within complex organisations Experience building and deploying LLMpowered applications Strong knowledge of RAG, embeddings, vector databases and retrieval architectures Experience with Azure, Databricks and modern cloudbased AI platforms Track record delivering AI solutions into production environments Experience defining governance, monitoring and Responsible AI controls Excellent stakeholder management and communication skills Experience delivering AI solutions across documentheavy environments, particularly legal services, would be advantageous This is an opportunity to shape how AI is adopted across a global organisation and play a leading role in moving innovative AI solutions from concept to enterprise-scale deployment.No sponsorship available.Get in touch for more details - McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
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.
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
AI & Innovation Value Analyst/AI Technical Business Analyst6-Months Initial Contract3 days per week onsite in London£700-750 inside IR35 (via an umbrella) Our client, a large investment/wealth management client, are looking to bring in a new AI/Technical BA/Consultant/Innovation consultant type of person. This will require working with very senior stakeholders (Director/Head of level) to help shape their complex requirements specifically around innovation and AI capabilities. Experience wanted: Looking for a flexible and versatile business analyst with financial services experience. Background within Consulting would be beneficial due to the breath of remits you will have undertaken. Strong experience and exposure to AI, innovation and wider data transformations. Any exposure to Machine learning or LLM's or Power flows Lead discovery sessions with business stakeholders to identify AI opportunities and clarify business objectives, success criteria, and measurable value. Working with internal technical resources to create solutions Translate business needs into detailed functional and nonfunctional requirements for AI solutions. Partner with Solution Architects to evaluate the technical viability of proposed AI solutions. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.
Jun 10, 2026
Contractor
AI & Innovation Value Analyst/AI Technical Business Analyst6-Months Initial Contract3 days per week onsite in London£700-750 inside IR35 (via an umbrella) Our client, a large investment/wealth management client, are looking to bring in a new AI/Technical BA/Consultant/Innovation consultant type of person. This will require working with very senior stakeholders (Director/Head of level) to help shape their complex requirements specifically around innovation and AI capabilities. Experience wanted: Looking for a flexible and versatile business analyst with financial services experience. Background within Consulting would be beneficial due to the breath of remits you will have undertaken. Strong experience and exposure to AI, innovation and wider data transformations. Any exposure to Machine learning or LLM's or Power flows Lead discovery sessions with business stakeholders to identify AI opportunities and clarify business objectives, success criteria, and measurable value. Working with internal technical resources to create solutions Translate business needs into detailed functional and nonfunctional requirements for AI solutions. Partner with Solution Architects to evaluate the technical viability of proposed AI solutions. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.
Senior Backend Python Developer (Contract) Contract: Rolling 3-Month Contract Location: Fully Remote (UK Based Only) Rate: 300 per day IR35 Status: Outside IR35 Start Date: ASAP Please note: Applicants must be based in the UK. Sponsorship is not available for this position. The Opportunity We're working with a growing technology-driven organisation looking for a strong Senior Backend Python Developer to join their engineering team on an initial 3-month contract with a high likelihood of extension. This is a hands-on backend-focused role where you'll be responsible for designing, developing, and maintaining scalable services, APIs, and integrations that underpin critical business applications. You'll be working closely with architects, product teams, and fellow engineers to deliver high-quality solutions in a fast-paced Agile environment. The ideal candidate will be an experienced Python developer with a strong understanding of modern backend engineering principles, cloud-native development, and API design. Key Responsibilities Design, develop, and maintain scalable backend applications and services using Python Build and optimise RESTful APIs and microservices Develop integrations between internal and third-party systems Write clean, maintainable, and well-tested code Participate in technical design discussions and architectural decisions Troubleshoot, debug, and resolve complex technical issues Contribute to CI/CD pipelines and deployment processes Collaborate with product, engineering, and DevOps teams to deliver high-quality solutions Perform code reviews and champion engineering best practices Support ongoing improvements to performance, scalability, and security Required Skills & Experience Strong commercial experience developing backend applications using Python Experience building scalable APIs and distributed systems Strong understanding of software engineering best practices and design patterns Experience with relational databases such as PostgreSQL or MySQL Experience working with cloud platforms (AWS, Azure, or GCP) Familiarity with Docker and containerised deployments Experience with Git and collaborative development workflows Understanding of CI/CD pipelines and automated testing Experience working within Agile delivery environments Strong problem-solving and debugging skills Desirable Experience Experience with FastAPI, Django, or Flask Exposure to event-driven architectures and messaging technologies Experience building data-intensive applications Knowledge of infrastructure-as-code practices Bonus Skills Any commercial or personal experience with AI, Machine Learning, Generative AI, or Large Language Models (LLMs) would be highly beneficial, including: Integrating LLM APIs into applications Building AI-powered features or workflows Experience with OpenAI, Anthropic, Azure AI, LangChain, LlamaIndex, or similar technologies Retrieval-Augmented Generation (RAG) solutions AI agents and workflow automation What's on Offer 300 per day Fully remote working Outside IR35 engagement Rolling 3-month contract with extension potential Opportunity to work on modern technology and scalable systems Immediate interview and start process Please note: Candidates must be UK-based and have the unrestricted right to work in the UK. Sponsorship is not available.
Jun 10, 2026
Contractor
Senior Backend Python Developer (Contract) Contract: Rolling 3-Month Contract Location: Fully Remote (UK Based Only) Rate: 300 per day IR35 Status: Outside IR35 Start Date: ASAP Please note: Applicants must be based in the UK. Sponsorship is not available for this position. The Opportunity We're working with a growing technology-driven organisation looking for a strong Senior Backend Python Developer to join their engineering team on an initial 3-month contract with a high likelihood of extension. This is a hands-on backend-focused role where you'll be responsible for designing, developing, and maintaining scalable services, APIs, and integrations that underpin critical business applications. You'll be working closely with architects, product teams, and fellow engineers to deliver high-quality solutions in a fast-paced Agile environment. The ideal candidate will be an experienced Python developer with a strong understanding of modern backend engineering principles, cloud-native development, and API design. Key Responsibilities Design, develop, and maintain scalable backend applications and services using Python Build and optimise RESTful APIs and microservices Develop integrations between internal and third-party systems Write clean, maintainable, and well-tested code Participate in technical design discussions and architectural decisions Troubleshoot, debug, and resolve complex technical issues Contribute to CI/CD pipelines and deployment processes Collaborate with product, engineering, and DevOps teams to deliver high-quality solutions Perform code reviews and champion engineering best practices Support ongoing improvements to performance, scalability, and security Required Skills & Experience Strong commercial experience developing backend applications using Python Experience building scalable APIs and distributed systems Strong understanding of software engineering best practices and design patterns Experience with relational databases such as PostgreSQL or MySQL Experience working with cloud platforms (AWS, Azure, or GCP) Familiarity with Docker and containerised deployments Experience with Git and collaborative development workflows Understanding of CI/CD pipelines and automated testing Experience working within Agile delivery environments Strong problem-solving and debugging skills Desirable Experience Experience with FastAPI, Django, or Flask Exposure to event-driven architectures and messaging technologies Experience building data-intensive applications Knowledge of infrastructure-as-code practices Bonus Skills Any commercial or personal experience with AI, Machine Learning, Generative AI, or Large Language Models (LLMs) would be highly beneficial, including: Integrating LLM APIs into applications Building AI-powered features or workflows Experience with OpenAI, Anthropic, Azure AI, LangChain, LlamaIndex, or similar technologies Retrieval-Augmented Generation (RAG) solutions AI agents and workflow automation What's on Offer 300 per day Fully remote working Outside IR35 engagement Rolling 3-month contract with extension potential Opportunity to work on modern technology and scalable systems Immediate interview and start process Please note: Candidates must be UK-based and have the unrestricted right to work in the UK. Sponsorship is not available.
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
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 -
AI Software Development Engineer Domain: Public Sector & Defence Solutions The Objective Seeking software engineers specialised in applied artificial intelligence to build and deploy advanced large language model (LLM) solutions for highly regulated UK institutions, including defence, national security, and healthcare sectors. Core Requirements Nationality & Clearance: Must be a British citizen holding an active UK security clearance (SC minimum, Developed Vetting highly preferred). Technical Core: Deep background in software engineering, primarily utilising Python. AI/ML Domain: Practical commercial experience with generative AI, retrieval-augmented generation (RAG), modern AI frameworks, autonomous agents, and natural language processing. Infrastructure: Proficiency in cloud-first architectures and container orchestration. Soft Skills: Highly capable communicator with a track record of direct, successful client engagement. Ideal Candidate Profile Previous experience operating within defence technology, national intelligence, or broader government/public sector tech. Background in fast-paced, high-growth technology environments (eg, AI scale-ups). Forward-thinking system architect; strongly averse to Legacy IT mentalities. Self-starter capable of owning the entire product life cycle autonomously, from initial concept to live deployment. Bonus Qualifications Currently active DV status. Hands-on familiarity with prominent open-source NLP and machine learning ecosystems. Full-stack capability using modern web technologies and Back End languages. Strong foundational knowledge in advanced search and information retrieval systems.
Jun 10, 2026
Full time
AI Software Development Engineer Domain: Public Sector & Defence Solutions The Objective Seeking software engineers specialised in applied artificial intelligence to build and deploy advanced large language model (LLM) solutions for highly regulated UK institutions, including defence, national security, and healthcare sectors. Core Requirements Nationality & Clearance: Must be a British citizen holding an active UK security clearance (SC minimum, Developed Vetting highly preferred). Technical Core: Deep background in software engineering, primarily utilising Python. AI/ML Domain: Practical commercial experience with generative AI, retrieval-augmented generation (RAG), modern AI frameworks, autonomous agents, and natural language processing. Infrastructure: Proficiency in cloud-first architectures and container orchestration. Soft Skills: Highly capable communicator with a track record of direct, successful client engagement. Ideal Candidate Profile Previous experience operating within defence technology, national intelligence, or broader government/public sector tech. Background in fast-paced, high-growth technology environments (eg, AI scale-ups). Forward-thinking system architect; strongly averse to Legacy IT mentalities. Self-starter capable of owning the entire product life cycle autonomously, from initial concept to live deployment. Bonus Qualifications Currently active DV status. Hands-on familiarity with prominent open-source NLP and machine learning ecosystems. Full-stack capability using modern web technologies and Back End languages. Strong foundational knowledge in advanced search and information retrieval systems.
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.
We're working with an engineering-led technology business developing complex sensor-based products used in highly regulated environments across healthcare, security and critical infrastructure. This is a hands-on senior engineering role where you'll work across firmware development, embedded architecture, RTOS environments, IoT connectivity and emerging Edge AI applications. You'll be joining a collaborative product development team with significant investment in R&D and the freedom to influence technical direction. What You'll Be Doing Developing embedded software in C and C++ Working with STM32 microcontrollers Designing and implementing firmware for commercial products Developing software within FreeRTOS environments Working with I2C, SPI, CAN, UART and Ethernet communications Supporting connected IoT devices and cloud integration Collaborating with hardware engineers and data scientists Contributing to architecture, design reviews and technical decision making Supporting product development from concept through to release What We're Looking For Essential 5+ years' embedded software development experience Strong Embedded C and C++ Commercial product development experience STM32 experience RTOS experience, ideally FreeRTOS Experience with embedded communications protocols Strong debugging and problem-solving skills Nice To Have Nvidia Jetson Embedded Linux Edge AI / Machine Learning TouchGFX IoT connectivity Embedded cybersecurity
Jun 10, 2026
Full time
We're working with an engineering-led technology business developing complex sensor-based products used in highly regulated environments across healthcare, security and critical infrastructure. This is a hands-on senior engineering role where you'll work across firmware development, embedded architecture, RTOS environments, IoT connectivity and emerging Edge AI applications. You'll be joining a collaborative product development team with significant investment in R&D and the freedom to influence technical direction. What You'll Be Doing Developing embedded software in C and C++ Working with STM32 microcontrollers Designing and implementing firmware for commercial products Developing software within FreeRTOS environments Working with I2C, SPI, CAN, UART and Ethernet communications Supporting connected IoT devices and cloud integration Collaborating with hardware engineers and data scientists Contributing to architecture, design reviews and technical decision making Supporting product development from concept through to release What We're Looking For Essential 5+ years' embedded software development experience Strong Embedded C and C++ Commercial product development experience STM32 experience RTOS experience, ideally FreeRTOS Experience with embedded communications protocols Strong debugging and problem-solving skills Nice To Have Nvidia Jetson Embedded Linux Edge AI / Machine Learning TouchGFX IoT connectivity Embedded cybersecurity
