Engineering Lead Software Manager Founding Engineer Python - Agentic AI - FastAPI - CI/CD Fully Remote (UK / Europe) A small and talented team of talented engineers & data scientists are quietly building something interesting. Well-backed and operating in the AI engineering space, they partner with PE backed businesses to solve complex technical and analytical problems - taking ideas from early concept through to production-grade systems. They're still early enough that the engineering culture, ways of working, and technical direction are being shaped. With a team of around 15 today and plans to grow to 50 over the next 12 months, the foundations being laid now will matter. This is where you come in. You'll join as a Founding Engineer / Engineering Lead, taking ownership of building production-grade systems (not just prototypes) in an environment where AI isn't a side project, it's central to what's being delivered. The work is varied and delivery-focused. You might be designing APIs one week, thinking through async processing and scale the next, and then helping shape how something is deployed, monitored, and improved in production - often in real client environments. This role is for someone who thinks commercially and works in partnership with clients to capture and design solutions from the ground up. What we're looking for Strong Python experience, particularly with asynchronous or distributed systems Solid experience building APIs and backend services Good understanding of cloud environments (Azure preferred), CI/CD, and deployment Experience building and shipping systems used in real-world environments (ideally client-facing or delivery-led) Someone who enjoys the craft of engineering, not just shipping code, but building things properly A genuine interest in AI and how it's shaping modern software development Why this role Fully remote across the UK Early-stage, but well-funded and already delivering real projects A chance to influence how things are built as the team scales Work that balances pace with quality, no endless POCs that go nowhere If you're an engineer who reads about new tech out of curiosity, and you like the idea of being part of a team still figuring things out, this would be a great fit. Hit apply or contact (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
May 18, 2026
Full time
Engineering Lead Software Manager Founding Engineer Python - Agentic AI - FastAPI - CI/CD Fully Remote (UK / Europe) A small and talented team of talented engineers & data scientists are quietly building something interesting. Well-backed and operating in the AI engineering space, they partner with PE backed businesses to solve complex technical and analytical problems - taking ideas from early concept through to production-grade systems. They're still early enough that the engineering culture, ways of working, and technical direction are being shaped. With a team of around 15 today and plans to grow to 50 over the next 12 months, the foundations being laid now will matter. This is where you come in. You'll join as a Founding Engineer / Engineering Lead, taking ownership of building production-grade systems (not just prototypes) in an environment where AI isn't a side project, it's central to what's being delivered. The work is varied and delivery-focused. You might be designing APIs one week, thinking through async processing and scale the next, and then helping shape how something is deployed, monitored, and improved in production - often in real client environments. This role is for someone who thinks commercially and works in partnership with clients to capture and design solutions from the ground up. What we're looking for Strong Python experience, particularly with asynchronous or distributed systems Solid experience building APIs and backend services Good understanding of cloud environments (Azure preferred), CI/CD, and deployment Experience building and shipping systems used in real-world environments (ideally client-facing or delivery-led) Someone who enjoys the craft of engineering, not just shipping code, but building things properly A genuine interest in AI and how it's shaping modern software development Why this role Fully remote across the UK Early-stage, but well-funded and already delivering real projects A chance to influence how things are built as the team scales Work that balances pace with quality, no endless POCs that go nowhere If you're an engineer who reads about new tech out of curiosity, and you like the idea of being part of a team still figuring things out, this would be a great fit. Hit apply or contact (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
SC Cleared Data Ethicist - Contract Rate: Up to £620 per day (Inside IR35) Location: London or Manchester (1-2 days per week on-site) Contract: 6 months Clearance: Active SC required We're hiring an experienced SC-cleared Data Ethicist to support the delivery of a high-profile central government data and AI programme. This role focuses on ensuring ethical, responsible, and transparent use of data and AI technologies, balancing innovation with public trust, compliance, and societal impact. This is a hands-on advisory and governance role, working closely with data scientists, engineers, architects, policy teams, and senior stakeholders to embed ethical principles into data-driven services and decision-making processes. Key Requirements Active Security Clearance (SC) - must be current and transferable Proven experience as a Data Ethicist or in responsible AI/data ethics roles within central government or regulated environments Strong understanding of ethical frameworks for data and AI (eg fairness, accountability, transparency, explainability) Experience applying ethical principles to AI/ML models and data-driven products Knowledge of UK regulatory and ethical standards (eg GDPR, ICO guidance, AI assurance frameworks) Familiarity with bias detection, mitigation, and fairness evaluation techniques Experience working with data governance, risk, and compliance teams Understanding of cloud-based data and AI platforms (Azure/AWS) Strong stakeholder engagement and communication skills, including ability to challenge constructively Experience working in Agile, multidisciplinary teams Responsibilities Define and implement data ethics and responsible AI frameworks aligned to government standards Assess ethical risks in data use, analytics, and machine learning models Provide guidance on fairness, bias mitigation, transparency, and explainability Review and challenge data-driven solutions to ensure ethical compliance and public trust Collaborate with delivery teams to embed ethics into design, development, and deployment processes Support the development of ethical impact assessments and governance controls Work with legal, policy, and technical teams to ensure regulatory alignment Contribute to documentation, standards, and audit readiness Promote a culture of ethical data use across teams and stakeholders Working Pattern 1-2 days per week on-site in London or Manchester Remaining days remote, offering a flexible hybrid working model If you're an SC-cleared Data Ethicist with strong experience in responsible AI, governance, and ethical data practices within complex environments, we'd like to hear from you. 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.
May 18, 2026
Contractor
SC Cleared Data Ethicist - Contract Rate: Up to £620 per day (Inside IR35) Location: London or Manchester (1-2 days per week on-site) Contract: 6 months Clearance: Active SC required We're hiring an experienced SC-cleared Data Ethicist to support the delivery of a high-profile central government data and AI programme. This role focuses on ensuring ethical, responsible, and transparent use of data and AI technologies, balancing innovation with public trust, compliance, and societal impact. This is a hands-on advisory and governance role, working closely with data scientists, engineers, architects, policy teams, and senior stakeholders to embed ethical principles into data-driven services and decision-making processes. Key Requirements Active Security Clearance (SC) - must be current and transferable Proven experience as a Data Ethicist or in responsible AI/data ethics roles within central government or regulated environments Strong understanding of ethical frameworks for data and AI (eg fairness, accountability, transparency, explainability) Experience applying ethical principles to AI/ML models and data-driven products Knowledge of UK regulatory and ethical standards (eg GDPR, ICO guidance, AI assurance frameworks) Familiarity with bias detection, mitigation, and fairness evaluation techniques Experience working with data governance, risk, and compliance teams Understanding of cloud-based data and AI platforms (Azure/AWS) Strong stakeholder engagement and communication skills, including ability to challenge constructively Experience working in Agile, multidisciplinary teams Responsibilities Define and implement data ethics and responsible AI frameworks aligned to government standards Assess ethical risks in data use, analytics, and machine learning models Provide guidance on fairness, bias mitigation, transparency, and explainability Review and challenge data-driven solutions to ensure ethical compliance and public trust Collaborate with delivery teams to embed ethics into design, development, and deployment processes Support the development of ethical impact assessments and governance controls Work with legal, policy, and technical teams to ensure regulatory alignment Contribute to documentation, standards, and audit readiness Promote a culture of ethical data use across teams and stakeholders Working Pattern 1-2 days per week on-site in London or Manchester Remaining days remote, offering a flexible hybrid working model If you're an SC-cleared Data Ethicist with strong experience in responsible AI, governance, and ethical data practices within complex environments, we'd like to hear from you. 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.
SC Cleared Machine Learning Engineer - Contract Rate: Up to £620 per day (Inside IR35) Location: London or Manchester (1-2 days per week on-site) Contract: 6 months Clearance: Active SC required We're hiring an experienced SC-cleared Machine Learning Engineer to support the delivery of a high-profile central government programme. This role focuses on designing, building, and deploying scalable machine learning solutions to enable advanced analytics, automation, and decision-making across complex government systems. This is a hands-on engineering role, working closely with data scientists, analysts, architects, and product teams to productionise models, build data pipelines, and embed ML capabilities into live services. Key Requirements Active Security Clearance (SC) - must be current and transferable Proven experience as a Machine Learning Engineer within central government or regulated environments Strong programming skills in Python (eg Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) Experience building and deploying ML models into production environments Strong knowledge of cloud platforms, particularly: Azure (ML Studio, Azure ML, Data Factory, Synapse) Experience in AWS environments is beneficial Experience with MLOps practices and tools (CI/CD pipelines, model monitoring, versioning) Strong understanding of data engineering concepts (ETL pipelines, data lakes, feature engineering) Experience working with large-scale structured and unstructured datasets Knowledge of AI ethics, bias mitigation, and model governance Comfortable working in Agile, multidisciplinary teams Strong stakeholder communication skills Responsibilities Design, build, and deploy machine learning models to solve complex business problems Develop and maintain scalable data pipelines and feature engineering workflows Productionise data science models and integrate them into live services and platforms Implement MLOps best practices, including model versioning, monitoring, and CI/CD Collaborate with data scientists, analysts, and architects to design end-to-end ML solutions Ensure models meet security, governance, and compliance requirements Optimise model performance, scalability, and reliability Document models, pipelines, and processes in line with government standards Contribute to continuous improvement and innovation across ML capabilities Working Pattern 1-2 days per week on-site in London or Manchester Remaining days remote, offering a flexible hybrid working model If you're an SC-cleared Machine Learning Engineer with strong experience in cloud platforms (Azure/AWS), production ML systems, and delivering data-driven solutions in complex environments, we'd like to hear from you. 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.
May 18, 2026
Contractor
SC Cleared Machine Learning Engineer - Contract Rate: Up to £620 per day (Inside IR35) Location: London or Manchester (1-2 days per week on-site) Contract: 6 months Clearance: Active SC required We're hiring an experienced SC-cleared Machine Learning Engineer to support the delivery of a high-profile central government programme. This role focuses on designing, building, and deploying scalable machine learning solutions to enable advanced analytics, automation, and decision-making across complex government systems. This is a hands-on engineering role, working closely with data scientists, analysts, architects, and product teams to productionise models, build data pipelines, and embed ML capabilities into live services. Key Requirements Active Security Clearance (SC) - must be current and transferable Proven experience as a Machine Learning Engineer within central government or regulated environments Strong programming skills in Python (eg Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) Experience building and deploying ML models into production environments Strong knowledge of cloud platforms, particularly: Azure (ML Studio, Azure ML, Data Factory, Synapse) Experience in AWS environments is beneficial Experience with MLOps practices and tools (CI/CD pipelines, model monitoring, versioning) Strong understanding of data engineering concepts (ETL pipelines, data lakes, feature engineering) Experience working with large-scale structured and unstructured datasets Knowledge of AI ethics, bias mitigation, and model governance Comfortable working in Agile, multidisciplinary teams Strong stakeholder communication skills Responsibilities Design, build, and deploy machine learning models to solve complex business problems Develop and maintain scalable data pipelines and feature engineering workflows Productionise data science models and integrate them into live services and platforms Implement MLOps best practices, including model versioning, monitoring, and CI/CD Collaborate with data scientists, analysts, and architects to design end-to-end ML solutions Ensure models meet security, governance, and compliance requirements Optimise model performance, scalability, and reliability Document models, pipelines, and processes in line with government standards Contribute to continuous improvement and innovation across ML capabilities Working Pattern 1-2 days per week on-site in London or Manchester Remaining days remote, offering a flexible hybrid working model If you're an SC-cleared Machine Learning Engineer with strong experience in cloud platforms (Azure/AWS), production ML systems, and delivering data-driven solutions in complex environments, we'd like to hear from you. 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.
About Synechron : Synechron is a leading digital transformation consulting firm dedicated to delivering innovative technology solutions within banking, financial services, and insurance. We thrive on engineering excellence, collaboration, and a passion for cutting-edge technologies. About role: This role is to provide deep data science expertise across Generative AI, AI-enabled tools , and applied analytics , helping to build stronger evidence base for how AI capabilities are adopted, governed, and improved across engineering and adjacent workflows. The successful candidate will build robust analytical approaches that help to understand where tools such as GitHub Copilot, Claude, and similar AI assistants deliver the strongest benefit, where outcomes are mixed, and what t echnical, workflow, behavioural, or organisationa l patterns explain those differences. The purpose is not only to assess the impact and usage patterns of GenAI tools, but also to create practical insight that can be used by delivery leaders, enablement teams, and engineering communities to improve adoption quality, reinforce strong practices, and guide future AI-tool strategy. This role will connect data science, AI-tool evaluation, engineering metrics , and GenAI adoption strategy. The output should enable better training, education, coaching, and knowledge transfer across the organisation, while helping to set a high internal standard for evidence-based adoption of AI tools in software engineering. Job Location: Sheffield (Hybrid OR Remote - 3 days in the office) Responsible For: Developing the analytical roadmap for Generative AI and AI-tool insight across engineering and adjacent workflows Defining a robust data science strategy for evaluating the impact, adoption, value, and risks of Generative AI and AI tools across engineering workflows Building analytical frameworks to assess tools such as GitHub Copilot, Claude, and similar AI assistants across use cases, engineering workflows, and technical patterns Identifying where GenAI and AI tools are most influential across coding, knowledge work, engineering workflows, SDLC flow, deployment, and DORA-style measures Identifying the key adoption drivers, accelerators, blockers, and best practices associated with stronger productivity outcomes Working with programme leadership to translate analytical findings into actionable recommendations for engineering teams and stakeholders Collaborating with data scientists, engineers, product owners, and programme managers to refine models, hypotheses, and measurement methods Supporting the operationalisation of repeatable insight products, dashboards, and evidence packs that can be used at programme and leadership level Contributing to knowledge acquisition and knowledge transfer by helping convert findings into enablement actions, guidance, playbooks, and learning interventions Communicating findings clearly to senior stakeholders, including both technical and non-technical audiences Major Challenges: This is a high-visibility initiative in a fast-moving area where expectations are high and the evidence needs to be both rigorous and practical Measuring the impact of Generative AI in engineering is analytically difficult because outcomes are influenced by team context, engineering maturity, task type, developer experience, and workflow differences The role requires balancing scientific robustness with the need to deliver useful, timely insight into a fast-evolving tool landscape The successful candidate must work comfortably across ambiguity, changing hypotheses, evolving adoption patterns, and imperfect real-world enterprise data This is an outcomes-driven role and will suit someone who is comfortable iterating quickly, challenging assumptions, and turning analysis into action across a fast-evolving AI landscape ESSENTIAL CANDIDATE REQUIREMENTS (Experience, skills, competencies etc.) Self-starter. Track-record of developing knowledge acquisition, knowledge transfer, communities of interest processes and content. Proven ability to deliver globally across Matrix-based organizations. Strong Influential communication and interpersonal skills, able to operate well across cultures and in multicultural, diverse work environment. Proficiency in verbal and written English, especially proficient in email communication, ppts, and in occasionally rewriting English content when written by a non-native speaker. Willing to learn, explore and implement new and emerging technologies. Ability to work in a fast-paced dynamic environment to deliver high quality results under tight schedule and pressure Proven experience in data analysis, particular in software development context Strong understanding of SDLD, Deployment and DORA metrics and their relevance to developer productivity Experience in translating data analysis into actionable business or operational insights Familiarity with GenAI technologies, specifically coding assistant like GitHub Copilot Diversity Statement Synechron are proud to be an equal opportunity employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We offer flexible workplace arrangements, mentoring, internal mobility, learning and development programmes to support our global workforce. Empowerment and collaboration are at the core of how we operate. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
May 18, 2026
About Synechron : Synechron is a leading digital transformation consulting firm dedicated to delivering innovative technology solutions within banking, financial services, and insurance. We thrive on engineering excellence, collaboration, and a passion for cutting-edge technologies. About role: This role is to provide deep data science expertise across Generative AI, AI-enabled tools , and applied analytics , helping to build stronger evidence base for how AI capabilities are adopted, governed, and improved across engineering and adjacent workflows. The successful candidate will build robust analytical approaches that help to understand where tools such as GitHub Copilot, Claude, and similar AI assistants deliver the strongest benefit, where outcomes are mixed, and what t echnical, workflow, behavioural, or organisationa l patterns explain those differences. The purpose is not only to assess the impact and usage patterns of GenAI tools, but also to create practical insight that can be used by delivery leaders, enablement teams, and engineering communities to improve adoption quality, reinforce strong practices, and guide future AI-tool strategy. This role will connect data science, AI-tool evaluation, engineering metrics , and GenAI adoption strategy. The output should enable better training, education, coaching, and knowledge transfer across the organisation, while helping to set a high internal standard for evidence-based adoption of AI tools in software engineering. Job Location: Sheffield (Hybrid OR Remote - 3 days in the office) Responsible For: Developing the analytical roadmap for Generative AI and AI-tool insight across engineering and adjacent workflows Defining a robust data science strategy for evaluating the impact, adoption, value, and risks of Generative AI and AI tools across engineering workflows Building analytical frameworks to assess tools such as GitHub Copilot, Claude, and similar AI assistants across use cases, engineering workflows, and technical patterns Identifying where GenAI and AI tools are most influential across coding, knowledge work, engineering workflows, SDLC flow, deployment, and DORA-style measures Identifying the key adoption drivers, accelerators, blockers, and best practices associated with stronger productivity outcomes Working with programme leadership to translate analytical findings into actionable recommendations for engineering teams and stakeholders Collaborating with data scientists, engineers, product owners, and programme managers to refine models, hypotheses, and measurement methods Supporting the operationalisation of repeatable insight products, dashboards, and evidence packs that can be used at programme and leadership level Contributing to knowledge acquisition and knowledge transfer by helping convert findings into enablement actions, guidance, playbooks, and learning interventions Communicating findings clearly to senior stakeholders, including both technical and non-technical audiences Major Challenges: This is a high-visibility initiative in a fast-moving area where expectations are high and the evidence needs to be both rigorous and practical Measuring the impact of Generative AI in engineering is analytically difficult because outcomes are influenced by team context, engineering maturity, task type, developer experience, and workflow differences The role requires balancing scientific robustness with the need to deliver useful, timely insight into a fast-evolving tool landscape The successful candidate must work comfortably across ambiguity, changing hypotheses, evolving adoption patterns, and imperfect real-world enterprise data This is an outcomes-driven role and will suit someone who is comfortable iterating quickly, challenging assumptions, and turning analysis into action across a fast-evolving AI landscape ESSENTIAL CANDIDATE REQUIREMENTS (Experience, skills, competencies etc.) Self-starter. Track-record of developing knowledge acquisition, knowledge transfer, communities of interest processes and content. Proven ability to deliver globally across Matrix-based organizations. Strong Influential communication and interpersonal skills, able to operate well across cultures and in multicultural, diverse work environment. Proficiency in verbal and written English, especially proficient in email communication, ppts, and in occasionally rewriting English content when written by a non-native speaker. Willing to learn, explore and implement new and emerging technologies. Ability to work in a fast-paced dynamic environment to deliver high quality results under tight schedule and pressure Proven experience in data analysis, particular in software development context Strong understanding of SDLD, Deployment and DORA metrics and their relevance to developer productivity Experience in translating data analysis into actionable business or operational insights Familiarity with GenAI technologies, specifically coding assistant like GitHub Copilot Diversity Statement Synechron are proud to be an equal opportunity employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We offer flexible workplace arrangements, mentoring, internal mobility, learning and development programmes to support our global workforce. Empowerment and collaboration are at the core of how we operate. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
This is a fantastic opportunity to work as a contract Bioinformatician on an Outside IR35 contract, for a major pharmaceutical company. It's important to note that this Bioinformatician role will require a minimum of 3 days per week on site in central Cambridge. The key experience required for this Bioinformatician position is: CRISPR Data pipelines Python or R Support lab scientists If you do have the relevant skills for this Bioinformatician Engineer contract position, please do apply.
May 18, 2026
Contractor
This is a fantastic opportunity to work as a contract Bioinformatician on an Outside IR35 contract, for a major pharmaceutical company. It's important to note that this Bioinformatician role will require a minimum of 3 days per week on site in central Cambridge. The key experience required for this Bioinformatician position is: CRISPR Data pipelines Python or R Support lab scientists If you do have the relevant skills for this Bioinformatician Engineer contract position, please do apply.
About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. With a strong commitment to user-centred design and agile delivery, we continue to build innovative digital services that truly make a difference. Overview: We are seeking a seasoned Data Lead to define and deliver a comprehensive data strategy for large-scale, citizen-facing services used by millions. This role involves assessing current data capabilities, defining a future vision, and architecting a roadmap to achieve it while building and leading the team required to deliver. Key Responsibilities: Data Strategy & Governance Lead the end-to-end data strategy across services Assess current ( as-is ) and future ( to-be ) states of data platforms and pipelines Develop a short- to medium-term strategic roadmap aligned with broader organisational and government data strategies Define and implement policies, standards, and governance frameworks for secure and scalable data services Technical Leadership & Architecture Select and evolve data engineering tools, frameworks, and methodologies Ensure alignment with enterprise architecture and technical strategies Lead delivery of complex data engineering initiatives across multiple systems Design solutions balancing functional and non-functional requirements Team Design & Delivery Define optimal team structure, including roles, skills, and capacity Build and lead multidisciplinary data teams (engineers, analysts, data scientists) Mentor and guide team members to ensure high-quality delivery Oversee implementation of data platforms, pipelines, and analytical models Standards, Compliance & Quality Ensure adherence to data governance, security, and compliance standards Embed data quality, lineage, and protection practices across systems Contribute to enterprise-wide data policies and regulatory compliance Required Experience & Skills: 10+ years of experience in data engineering, data science, or analytics Proven experience defining and executing data strategies in complex organisations Strong expertise in cloud-based data platforms (AWS preferred) Experience with modern ETL/ELT tools and data pipeline frameworks Solid understanding of data modelling, warehousing, and transformation best practices Experience across the data science/ML life cycle from prototype to production Experience working in public sector or regulated environments, with knowledge of GDPR and related standards Strong communication and stakeholder management skills, including engaging senior stakeholders Proven leadership, mentoring, and team-building capabilities Tech Stack: Google Analytics Google BigQuery Looker Studio Google Tag Manager Desirable Experience: Experience in public sector or citizen services (eg, benefits systems) Exposure to government frameworks or large-scale transformation programmes Security clearance (BPSS, SC, or DV) or willingness to obtain Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, underrepresented communities, and those seeking flexible working arrangements.
May 18, 2026
Full time
About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. With a strong commitment to user-centred design and agile delivery, we continue to build innovative digital services that truly make a difference. Overview: We are seeking a seasoned Data Lead to define and deliver a comprehensive data strategy for large-scale, citizen-facing services used by millions. This role involves assessing current data capabilities, defining a future vision, and architecting a roadmap to achieve it while building and leading the team required to deliver. Key Responsibilities: Data Strategy & Governance Lead the end-to-end data strategy across services Assess current ( as-is ) and future ( to-be ) states of data platforms and pipelines Develop a short- to medium-term strategic roadmap aligned with broader organisational and government data strategies Define and implement policies, standards, and governance frameworks for secure and scalable data services Technical Leadership & Architecture Select and evolve data engineering tools, frameworks, and methodologies Ensure alignment with enterprise architecture and technical strategies Lead delivery of complex data engineering initiatives across multiple systems Design solutions balancing functional and non-functional requirements Team Design & Delivery Define optimal team structure, including roles, skills, and capacity Build and lead multidisciplinary data teams (engineers, analysts, data scientists) Mentor and guide team members to ensure high-quality delivery Oversee implementation of data platforms, pipelines, and analytical models Standards, Compliance & Quality Ensure adherence to data governance, security, and compliance standards Embed data quality, lineage, and protection practices across systems Contribute to enterprise-wide data policies and regulatory compliance Required Experience & Skills: 10+ years of experience in data engineering, data science, or analytics Proven experience defining and executing data strategies in complex organisations Strong expertise in cloud-based data platforms (AWS preferred) Experience with modern ETL/ELT tools and data pipeline frameworks Solid understanding of data modelling, warehousing, and transformation best practices Experience across the data science/ML life cycle from prototype to production Experience working in public sector or regulated environments, with knowledge of GDPR and related standards Strong communication and stakeholder management skills, including engaging senior stakeholders Proven leadership, mentoring, and team-building capabilities Tech Stack: Google Analytics Google BigQuery Looker Studio Google Tag Manager Desirable Experience: Experience in public sector or citizen services (eg, benefits systems) Exposure to government frameworks or large-scale transformation programmes Security clearance (BPSS, SC, or DV) or willingness to obtain Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, underrepresented communities, and those seeking flexible working arrangements.
Content/Conversational Designer: Agentic experience Design Location: London Contract Length: 6 months Working Pattern: Hybrid - 2 days per week in the office. Via Umbrella company Are you ready to take your content design skills to the next level? Our client, a leading player in the banking industry, is seeking a passionate and innovative Content Designer to join their team for a 6-month temporary contract. This is your chance to shape customer-first experiences in the exciting realm of Conversational Banking! What You'll Do: As an agentic Content Designer, you will: Collaborate with a dynamic cross-functional team to create engaging, safe, and compliant customer experiences. Leverage your content design expertise to understand customer needs and craft AI-powered content that is structured, accurate, and machine-usable. Develop content approaches for emerging AI patterns, ensuring clear communication and usability. Partner with data scientists and engineers to define and evolve a knowledge graph that models relationships across products and systems. Conduct content audits and refine content strategies to ensure readiness for AI systems. Prototype, test, and iterate to continuously improve the quality of customer interactions. What You Bring: Content Design Expertise: Strong UX writing skills and the ability to simplify complex information. Design Thinking: Proficiency in problem framing, ideation, and testing. Systems Mindset: Ability to design content across entire journeys and ecosystems, not just individual screens. Collaboration Skills: Comfort in partnering with various stakeholders, including product, engineering, and legal teams. AI Awareness: Familiarity with generative AI and conversational design principles is a plus. Structured Content Knowledge: Experience with content models, taxonomies, and metadata. Data-Driven Mindset: Ability to work effectively with data teams on content pipelines and quality checks. Quality and Risk Awareness: Understanding the importance of accuracy and compliance in regulated environments. What We Offer: Flexible Working Arrangements: Enjoy a hybrid working model, with the option to work from home and collaborate in the office two days a week. Professional Development: Opportunities for growth and support to optimize your potential. Inclusive Culture: Join a team that values diversity and encourages everyone to contribute their unique perspectives. If you're a go-getter ready to embrace the exciting world of agentic design in banking, we want to hear from you! This is your opportunity to make a real impact and drive innovation in customer experiences. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
May 18, 2026
Contractor
Content/Conversational Designer: Agentic experience Design Location: London Contract Length: 6 months Working Pattern: Hybrid - 2 days per week in the office. Via Umbrella company Are you ready to take your content design skills to the next level? Our client, a leading player in the banking industry, is seeking a passionate and innovative Content Designer to join their team for a 6-month temporary contract. This is your chance to shape customer-first experiences in the exciting realm of Conversational Banking! What You'll Do: As an agentic Content Designer, you will: Collaborate with a dynamic cross-functional team to create engaging, safe, and compliant customer experiences. Leverage your content design expertise to understand customer needs and craft AI-powered content that is structured, accurate, and machine-usable. Develop content approaches for emerging AI patterns, ensuring clear communication and usability. Partner with data scientists and engineers to define and evolve a knowledge graph that models relationships across products and systems. Conduct content audits and refine content strategies to ensure readiness for AI systems. Prototype, test, and iterate to continuously improve the quality of customer interactions. What You Bring: Content Design Expertise: Strong UX writing skills and the ability to simplify complex information. Design Thinking: Proficiency in problem framing, ideation, and testing. Systems Mindset: Ability to design content across entire journeys and ecosystems, not just individual screens. Collaboration Skills: Comfort in partnering with various stakeholders, including product, engineering, and legal teams. AI Awareness: Familiarity with generative AI and conversational design principles is a plus. Structured Content Knowledge: Experience with content models, taxonomies, and metadata. Data-Driven Mindset: Ability to work effectively with data teams on content pipelines and quality checks. Quality and Risk Awareness: Understanding the importance of accuracy and compliance in regulated environments. What We Offer: Flexible Working Arrangements: Enjoy a hybrid working model, with the option to work from home and collaborate in the office two days a week. Professional Development: Opportunities for growth and support to optimize your potential. Inclusive Culture: Join a team that values diversity and encourages everyone to contribute their unique perspectives. If you're a go-getter ready to embrace the exciting world of agentic design in banking, we want to hear from you! This is your opportunity to make a real impact and drive innovation in customer experiences. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Do you have very recent UK Insurance data experience? Hybrid working part City of London based - This leading and exciting Insurer are seeking a detail-oriented and organised Motor Insurance Pricing/Data Practitioner to join their Pricing and Underwriting team. To apply for this role you MUST have multiple years of experience working within a personal lines business within motor and or home products They ve built the kind of pricing infrastructure every pricing professional aspires to work with: High-quality, accessible data A fast, flexible rating algorithm deploy changes in hours Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development An operating model that gives complete autonomy to pricing professionals to dream up an idea and get it live If you're passionate about using data, tech, and creativity to push the boundaries of insurance pricing, we d love to hear from you. Role Purpose This role focuses on end-to-end customer pricing, covering both risk and margin for the Insurer. It is a highly autonomous role within a specialized team. Key Responsibilities Optimization: Identify pricing opportunities across segments to maximize profitability and market competitiveness. Innovation: Develop new features, tools, and models for advanced pricing sophistication. Monitoring: Analyse claims performance to ensure accurate calibration, especially regarding inflation and trends. Automation: Build automated processes to improve operational efficiency Ideal Candidate Profile Extensive skills within Motor Insurance Pricing and Data Commercial Mindset: Motivated by driving tangible business value through data-driven decisions. Technical Proficiency: Skilled in data analysis and modelling techniques. Requires experience with analytical tools (e.g., Python, SQL, R) and a background in insurance pricing or data science. The company are offering an impressive salary and benefits package and this is an exciting time to join this highly progressive Insurer.
May 18, 2026
Full time
Do you have very recent UK Insurance data experience? Hybrid working part City of London based - This leading and exciting Insurer are seeking a detail-oriented and organised Motor Insurance Pricing/Data Practitioner to join their Pricing and Underwriting team. To apply for this role you MUST have multiple years of experience working within a personal lines business within motor and or home products They ve built the kind of pricing infrastructure every pricing professional aspires to work with: High-quality, accessible data A fast, flexible rating algorithm deploy changes in hours Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development An operating model that gives complete autonomy to pricing professionals to dream up an idea and get it live If you're passionate about using data, tech, and creativity to push the boundaries of insurance pricing, we d love to hear from you. Role Purpose This role focuses on end-to-end customer pricing, covering both risk and margin for the Insurer. It is a highly autonomous role within a specialized team. Key Responsibilities Optimization: Identify pricing opportunities across segments to maximize profitability and market competitiveness. Innovation: Develop new features, tools, and models for advanced pricing sophistication. Monitoring: Analyse claims performance to ensure accurate calibration, especially regarding inflation and trends. Automation: Build automated processes to improve operational efficiency Ideal Candidate Profile Extensive skills within Motor Insurance Pricing and Data Commercial Mindset: Motivated by driving tangible business value through data-driven decisions. Technical Proficiency: Skilled in data analysis and modelling techniques. Requires experience with analytical tools (e.g., Python, SQL, R) and a background in insurance pricing or data science. The company are offering an impressive salary and benefits package and this is an exciting time to join this highly progressive Insurer.
Data Engineer for a major offshore wind project in The United Kingdom Responsibilities Design and implement scalable ingestion pipelines from multiple source systems including and internal business data sources. Ensure reliable, automated, and monitored data flows into the Bronze layer of the Medallion architecture. Work within clients existing security framework to establish compliant connectivity to operational data sources. Build and maintain Silver and Gold layer transformations in Databricks using Python and SQL. Onboard datasets into Unity Catalog, ensuring proper governance, lineage, and discoverability. Platform Collaboration & Delivery Support the ML/Data Scientist in preparing clean, structured datasets for anomaly detection and asset performance modelling. Contribute to technical documentation and ensure pipelines are maintainable and transferable. Stay current on Databricks and Azure platform developments relevant to the stack. Support the Digital & AI Strategy Manager in assessing feasibility of new data source integrations as the roadmap evolves. Experience Master's degree in Computer Science, Data Engineering, Software Engineering, or a related technical field. Professional certifications in Azure, Databricks preferred Training or background in energy systems, renewable energy, offshore wind or BESS technologies is a strong plus. 4-7 years of hands-on data engineering experience in a cloud environment. Demonstrated experience delivering production pipelines on Databricks and Azure (ADLS Gen2, ADF or equivalent). Proven ability to implement Medallion architecture or equivalent layered data modelling patterns. Experience with REST API ingestion and integration of business systems (ERP, finance tools). Experience in a contractor or project-based delivery model preferred. Exposure to OT/SCADA environments or energy sector data. Exposure to MLOps workflows or collaboration with data science teams.
May 18, 2026
Contractor
Data Engineer for a major offshore wind project in The United Kingdom Responsibilities Design and implement scalable ingestion pipelines from multiple source systems including and internal business data sources. Ensure reliable, automated, and monitored data flows into the Bronze layer of the Medallion architecture. Work within clients existing security framework to establish compliant connectivity to operational data sources. Build and maintain Silver and Gold layer transformations in Databricks using Python and SQL. Onboard datasets into Unity Catalog, ensuring proper governance, lineage, and discoverability. Platform Collaboration & Delivery Support the ML/Data Scientist in preparing clean, structured datasets for anomaly detection and asset performance modelling. Contribute to technical documentation and ensure pipelines are maintainable and transferable. Stay current on Databricks and Azure platform developments relevant to the stack. Support the Digital & AI Strategy Manager in assessing feasibility of new data source integrations as the roadmap evolves. Experience Master's degree in Computer Science, Data Engineering, Software Engineering, or a related technical field. Professional certifications in Azure, Databricks preferred Training or background in energy systems, renewable energy, offshore wind or BESS technologies is a strong plus. 4-7 years of hands-on data engineering experience in a cloud environment. Demonstrated experience delivering production pipelines on Databricks and Azure (ADLS Gen2, ADF or equivalent). Proven ability to implement Medallion architecture or equivalent layered data modelling patterns. Experience with REST API ingestion and integration of business systems (ERP, finance tools). Experience in a contractor or project-based delivery model preferred. Exposure to OT/SCADA environments or energy sector data. Exposure to MLOps workflows or collaboration with data science teams.
Data Engineer (Quantexa) Hybrid Working - London - 1-2 days a week on site. Financial Services Lorien's leading banking client is looking for a Data Engineer to join a newly built team on a new project. The Ideal Candidate will design, build, and maintain scalable data pipelines and analytical solutions with a strong emphasis on Scala-based data processing, graph analytics, advanced data wrangling, and experienced in using and understanding Quantexa. You will work closely with data scientists, analysts, and platform engineers to enable insights from complex, interconnected datasets. This role is based in London. This role will be Via Umbrella. Working in a Hybrid Model of 1-2 days a week on site. Key Skills and Experience Experienced in Design, Develop, And Maintain Scalable Data Pipelines Using Scala/Java And Modern Distributed Data Processing Frameworks. Build And Optimize Graph-Based Data Models to Analyse Relationships, Networks, And Dependencies Across Large Datasets. Experienced with using and working with Quantexa is highly advantageous. Implement Graph Analytics Algorithms (E.G. Centrality, Community Detection, Path Analysis) To Support Advanced Analytical Use Cases. Perform Complex Data Wrangling and Transformation on Structured and Semi-Structured Data. Develop And Maintain Scripts (E.G. Scala) To Automate Data Ingestion, Validation, And Processing Tasks. Ensure Data Quality, Reliability, And Performance Across Data Workflows. Collaborate With Stakeholders To Translate Business Requirements Into Robust Data Solutions. Contribute To Data Architecture, Best Practices, And Documentation. Monitor And Troubleshoot Data Pipelines In Production Environments. Experience of working within Financial Services Environments. IND_PC3 Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
May 18, 2026
Contractor
Data Engineer (Quantexa) Hybrid Working - London - 1-2 days a week on site. Financial Services Lorien's leading banking client is looking for a Data Engineer to join a newly built team on a new project. The Ideal Candidate will design, build, and maintain scalable data pipelines and analytical solutions with a strong emphasis on Scala-based data processing, graph analytics, advanced data wrangling, and experienced in using and understanding Quantexa. You will work closely with data scientists, analysts, and platform engineers to enable insights from complex, interconnected datasets. This role is based in London. This role will be Via Umbrella. Working in a Hybrid Model of 1-2 days a week on site. Key Skills and Experience Experienced in Design, Develop, And Maintain Scalable Data Pipelines Using Scala/Java And Modern Distributed Data Processing Frameworks. Build And Optimize Graph-Based Data Models to Analyse Relationships, Networks, And Dependencies Across Large Datasets. Experienced with using and working with Quantexa is highly advantageous. Implement Graph Analytics Algorithms (E.G. Centrality, Community Detection, Path Analysis) To Support Advanced Analytical Use Cases. Perform Complex Data Wrangling and Transformation on Structured and Semi-Structured Data. Develop And Maintain Scripts (E.G. Scala) To Automate Data Ingestion, Validation, And Processing Tasks. Ensure Data Quality, Reliability, And Performance Across Data Workflows. Collaborate With Stakeholders To Translate Business Requirements Into Robust Data Solutions. Contribute To Data Architecture, Best Practices, And Documentation. Monitor And Troubleshoot Data Pipelines In Production Environments. Experience of working within Financial Services Environments. IND_PC3 Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Junior Software Engineer Location: Office based, Whiteley PO15 7AF Salary: Competitive, depending on experience Contract: Full Time, Permanent Benefits: 27 days holiday (increasing 1 day each year), Flexible working hours, Share options, Company pension, Cycle to Work Scheme, Private Dental care About the company: iFAST Diagnostics is a medical device company that has developed a game-changing, rapid antimicrobial susceptibility test, that will enable the right antibiotic treatment for all patients with bacterial infections. Currently, these tests take 48-72 hours, but iFAST's tests are 10x faster giving full quantitative and qualitative results in under 3 hours from a positive blood culture or bacterial isolate. Job Role: We are seeking a Software Engineer or Computer Scientist to join our team as we roll out our instruments in the UK, having just received our UKCA approval for the first product. You will design, implement and test a variety of software including middleware, firmware and algorithm development which are integral to our novel medical diagnostic product Responsibilities: • Development of software for our current and future instruments, including algorithm development, processing code and middleware. • Writing code and algorithms in accordance with good Software practise Experience of relevant standards and medical device regulations would be beneficial (e.g. ISO 13485, ISO 9001 ISO 14971 and IEC 62304.) • Development of test plans and procedures, conducting and accurately documenting the tests at unit, sub-system and system level. • Working closely with internal and external stakeholders e.g. production, service, sales teams and suppliers. Knowledge, Skills & Experience: • Have experience of software development for medical devices or similar within an ISO regulated environment and be able to work to associated regulations such as IEC 62304. • Be able to work efficiently with source code management tools. • Be familiar with IEC 62304 compliant software development processes and standards to produce well documented, maintainable, and test-driven code. • Understand machine learning concepts and be able to choose appropriate techniques for a given task and dataset, including supervised learning. • Have a strong mathematical and statistical background and be able to apply this to algorithm development. • Have experience of writing software for controlling electromechanical equipment, ideally in C/C++, Python, MATLAB or PLC code. • Hold a (first or 2:1) degree in a relevant discipline. • Need to be able to work under minimal supervision with a flexible attitude and be capable of solving problems and working to an agreed timescale to deliver on your projects. If you feel you have the necessary skills and experience to be successful in this role, click on APPLY today, forwarding an up-to-date copy of your CV for consideration in the first instance. No agencies please.
May 17, 2026
Full time
Junior Software Engineer Location: Office based, Whiteley PO15 7AF Salary: Competitive, depending on experience Contract: Full Time, Permanent Benefits: 27 days holiday (increasing 1 day each year), Flexible working hours, Share options, Company pension, Cycle to Work Scheme, Private Dental care About the company: iFAST Diagnostics is a medical device company that has developed a game-changing, rapid antimicrobial susceptibility test, that will enable the right antibiotic treatment for all patients with bacterial infections. Currently, these tests take 48-72 hours, but iFAST's tests are 10x faster giving full quantitative and qualitative results in under 3 hours from a positive blood culture or bacterial isolate. Job Role: We are seeking a Software Engineer or Computer Scientist to join our team as we roll out our instruments in the UK, having just received our UKCA approval for the first product. You will design, implement and test a variety of software including middleware, firmware and algorithm development which are integral to our novel medical diagnostic product Responsibilities: • Development of software for our current and future instruments, including algorithm development, processing code and middleware. • Writing code and algorithms in accordance with good Software practise Experience of relevant standards and medical device regulations would be beneficial (e.g. ISO 13485, ISO 9001 ISO 14971 and IEC 62304.) • Development of test plans and procedures, conducting and accurately documenting the tests at unit, sub-system and system level. • Working closely with internal and external stakeholders e.g. production, service, sales teams and suppliers. Knowledge, Skills & Experience: • Have experience of software development for medical devices or similar within an ISO regulated environment and be able to work to associated regulations such as IEC 62304. • Be able to work efficiently with source code management tools. • Be familiar with IEC 62304 compliant software development processes and standards to produce well documented, maintainable, and test-driven code. • Understand machine learning concepts and be able to choose appropriate techniques for a given task and dataset, including supervised learning. • Have a strong mathematical and statistical background and be able to apply this to algorithm development. • Have experience of writing software for controlling electromechanical equipment, ideally in C/C++, Python, MATLAB or PLC code. • Hold a (first or 2:1) degree in a relevant discipline. • Need to be able to work under minimal supervision with a flexible attitude and be capable of solving problems and working to an agreed timescale to deliver on your projects. If you feel you have the necessary skills and experience to be successful in this role, click on APPLY today, forwarding an up-to-date copy of your CV for consideration in the first instance. No agencies please.
Lead Data Scientist - Financial Crime (Consulting Environment) Salary: 90,000 - 120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data-focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory-led role What's in it for you? Competitive salary ( 85,000 - 110,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud-related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies If you would like to be considered for the Lead Data Scientist Role, please apply below with your CV.
May 17, 2026
Full time
Lead Data Scientist - Financial Crime (Consulting Environment) Salary: 90,000 - 120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data-focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory-led role What's in it for you? Competitive salary ( 85,000 - 110,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud-related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies If you would like to be considered for the Lead Data Scientist Role, please apply below with your CV.
Martin Veasey Talent Solutions
Northampton, Northamptonshire
Senior Machine Learning Data Scientist - Credit Risk 80,000- 120,000 + Bonus + Benefits (Flexibility to 150k DOE) East Midlands (Hybrid Min. 3 days) The Opportunity There are very few roles in the UK market where you can take ownership of a proven, production-grade credit risk model that is already outperforming competitors - and be given the autonomy to evolve it, refine it and directly influence commercial outcomes. This is one of them. This opportunity sits within a high-growth, data-driven financial services environment where machine learning is not theoretical or exploratory - it is embedded at the core of how the business makes decisions. At the centre of this capability is a highly accurate credit risk model, supported by rich, real-world datasets and a continuous feedback loop of internal and external lending outcomes. The model is already delivering strong predictive performance, but the real value lies in how it is developed from here. This opportunity represents a natural evolution of an already successful machine learning capability, offering the chance to take ownership of a proven model and shape its future direction. The Role This is a senior, hands-on data science role focused on credit risk modelling within a commercial lending environment. You will take ownership of the core modelling framework, working directly on probability of default models and broader decisioning logic that underpins lending strategy. The emphasis is on refinement, optimisation and continuous improvement rather than building from scratch. You will be responsible for the intellectual core of the models: Feature engineering across financial, behavioural and transactional data Algorithm selection and tuning (logistic regression, gradient boosting, ensemble methods) Model validation, performance optimisation and ongoing recalibration Ensuring models remain robust in changing economic conditions You will not be responsible for infrastructure, pipelines or deployment. A dedicated engineering team manages AWS and production environments, allowing you to focus on modelling and analytics. This is a highly visible role with direct exposure to senior stakeholders. You will be expected to explain model performance, justify modelling decisions and translate technical outputs into clear commercial insight. The Environment This is a business that understands the value of data but is still at a stage where impact is direct and visible. There is: No large data science hierarchy No separation between thinking and execution No dilution of responsibility across multiple teams You will operate as the central subject matter expert within a collaborative technical environment, with the autonomy to influence both modelling direction and commercial outcomes. Over time, there is a clear pathway to build out a team and evolve into a leadership role. However, the immediate focus is on hands-on ownership and delivery. What This Role Is Not This role will not suit individuals who: Have moved fully into leadership and no longer build models themselves Prefer purely strategic or advisory positions without technical ownership Are focused on infrastructure, MLOps or engineering rather than modelling Want a large team or established function around them from day one This is a role for someone who wants to remain close to the detail and take responsibility for outcomes. The Ideal Profile You are a hands-on machine learning data scientist with deep experience in credit risk modelling. You are currently building, refining and optimising models yourself, not delegating that work. You are likely to have developed your career within: SME lending, fintech or banking environments Credit risk, underwriting or decision science functions You will have: Strong experience building probability of default or credit scoring models Advanced Python capability Experience with algorithms such as logistic regression, XGBoost, LightGBM or similar A strong understanding of model evaluation (ROC-AUC, Gini, precision/recall) Experience working with complex financial or behavioural datasets You understand how your work impacts: Approval rates Default risk Commercial performance You are comfortable discussing modelling decisions in depth with technical stakeholders, but equally able to simplify complex concepts for non-technical audiences. Qualifications You will typically have a strong academic foundation in a quantitative discipline such as Mathematics, Statistics, Data Science, Engineering, Physics or a closely related field. Many candidates at this level will hold a Master's degree or equivalent advanced qualification, although this is not essential where there is clear evidence of deep practical expertise in credit risk modelling and machine learning. What is critical is a strong grounding in mathematical thinking, statistical modelling and problem solving, combined with the ability to apply that knowledge in a commercial environment. Why This Role Stands Out Ownership of a high-performing, production-grade credit risk model Access to rich, real-world data with continuous feedback loops Direct influence on lending decisions and commercial performance Strong engineering support, allowing full focus on modelling High visibility with senior leadership Clear pathway to future Head of AI / Machine Learning role Opportunity to shape the next phase of a proven data capability Package & Flexibility 80,000- 120,000 base salary Bonus up to 15% Flexibility to 150,000 for exceptional candidates Hybrid working (East Midlands, typically 2-3 days onsite with flexibility)
May 17, 2026
Full time
Senior Machine Learning Data Scientist - Credit Risk 80,000- 120,000 + Bonus + Benefits (Flexibility to 150k DOE) East Midlands (Hybrid Min. 3 days) The Opportunity There are very few roles in the UK market where you can take ownership of a proven, production-grade credit risk model that is already outperforming competitors - and be given the autonomy to evolve it, refine it and directly influence commercial outcomes. This is one of them. This opportunity sits within a high-growth, data-driven financial services environment where machine learning is not theoretical or exploratory - it is embedded at the core of how the business makes decisions. At the centre of this capability is a highly accurate credit risk model, supported by rich, real-world datasets and a continuous feedback loop of internal and external lending outcomes. The model is already delivering strong predictive performance, but the real value lies in how it is developed from here. This opportunity represents a natural evolution of an already successful machine learning capability, offering the chance to take ownership of a proven model and shape its future direction. The Role This is a senior, hands-on data science role focused on credit risk modelling within a commercial lending environment. You will take ownership of the core modelling framework, working directly on probability of default models and broader decisioning logic that underpins lending strategy. The emphasis is on refinement, optimisation and continuous improvement rather than building from scratch. You will be responsible for the intellectual core of the models: Feature engineering across financial, behavioural and transactional data Algorithm selection and tuning (logistic regression, gradient boosting, ensemble methods) Model validation, performance optimisation and ongoing recalibration Ensuring models remain robust in changing economic conditions You will not be responsible for infrastructure, pipelines or deployment. A dedicated engineering team manages AWS and production environments, allowing you to focus on modelling and analytics. This is a highly visible role with direct exposure to senior stakeholders. You will be expected to explain model performance, justify modelling decisions and translate technical outputs into clear commercial insight. The Environment This is a business that understands the value of data but is still at a stage where impact is direct and visible. There is: No large data science hierarchy No separation between thinking and execution No dilution of responsibility across multiple teams You will operate as the central subject matter expert within a collaborative technical environment, with the autonomy to influence both modelling direction and commercial outcomes. Over time, there is a clear pathway to build out a team and evolve into a leadership role. However, the immediate focus is on hands-on ownership and delivery. What This Role Is Not This role will not suit individuals who: Have moved fully into leadership and no longer build models themselves Prefer purely strategic or advisory positions without technical ownership Are focused on infrastructure, MLOps or engineering rather than modelling Want a large team or established function around them from day one This is a role for someone who wants to remain close to the detail and take responsibility for outcomes. The Ideal Profile You are a hands-on machine learning data scientist with deep experience in credit risk modelling. You are currently building, refining and optimising models yourself, not delegating that work. You are likely to have developed your career within: SME lending, fintech or banking environments Credit risk, underwriting or decision science functions You will have: Strong experience building probability of default or credit scoring models Advanced Python capability Experience with algorithms such as logistic regression, XGBoost, LightGBM or similar A strong understanding of model evaluation (ROC-AUC, Gini, precision/recall) Experience working with complex financial or behavioural datasets You understand how your work impacts: Approval rates Default risk Commercial performance You are comfortable discussing modelling decisions in depth with technical stakeholders, but equally able to simplify complex concepts for non-technical audiences. Qualifications You will typically have a strong academic foundation in a quantitative discipline such as Mathematics, Statistics, Data Science, Engineering, Physics or a closely related field. Many candidates at this level will hold a Master's degree or equivalent advanced qualification, although this is not essential where there is clear evidence of deep practical expertise in credit risk modelling and machine learning. What is critical is a strong grounding in mathematical thinking, statistical modelling and problem solving, combined with the ability to apply that knowledge in a commercial environment. Why This Role Stands Out Ownership of a high-performing, production-grade credit risk model Access to rich, real-world data with continuous feedback loops Direct influence on lending decisions and commercial performance Strong engineering support, allowing full focus on modelling High visibility with senior leadership Clear pathway to future Head of AI / Machine Learning role Opportunity to shape the next phase of a proven data capability Package & Flexibility 80,000- 120,000 base salary Bonus up to 15% Flexibility to 150,000 for exceptional candidates Hybrid working (East Midlands, typically 2-3 days onsite with flexibility)
DevOps Engineer Senior or Mid Level Role: DevOps Engineer or Senior DevOps Engineer (Flexible Seniority) Security Clearance: Current DV Clearance Required (eDV Eligibility Essential) Location: Central London (Hybrid - Maximum 3 days in office) Salary: 50,000 - 85,000 (D.O.E) I am currently partnering with an elite technical consultancy that operates at the mission-critical intersection of AI, Data Science, and National Security . My client is looking for a DV-cleared DevOps specialist to join a division dedicated to solving high-stakes challenges that drive genuine societal change. This is a rare opportunity for a cleared professional to step out of "legacy" environments and work with a modern tech stack-including AI infrastructure and cloud-native automation -within a culture that offers a maximum 3-day office presence. The Choice is Yours: Engineer or Senior? My client prioritizes the right mindset and clearance level over a specific number of years on a CV. They are open to meeting candidates at two levels: Engineer ( 50k - 65k): You'll be the engine room of the deployment cycle-building robust CI/CD pipelines, automating AWS environments, and ensuring high-availability for complex AI solutions. Senior Engineer ( 65k - 85k): You will take a "player-coach" approach-architecting bespoke infrastructure, mentoring rising talent, and challenging existing orthodoxies to shape the firm's long-term engineering roadmap. The Tech Challenge Working in highly collaborative, cleared squads alongside Software Engineers and Data Scientists, you will: Automate AI Workflows: Design and deploy infrastructure for AI and Machine Learning solutions tailored for secure, restricted client environments. Scale AWS Environments: Leverage Terraform, Kubernetes, and GitOps to manage complex, highly-restricted infrastructures. Drive Operational Excellence: Act as the pivotal link between technical delivery and mission-critical requirements, ensuring solutions are robust, compliant, and cutting-edge. What You'll Bring To be successful in this process, you will need: Clearance: You must currently hold DV Clearance and be eligible for eDV . Technical Foundations: Proven experience with AWS, Docker, and Git. Infrastructure as Code: A solid grip on Terraform and/or Kubernetes. Agile Mindset: You thrive in fast-paced environments and can navigate change effectively. Software Awareness: Knowledge of the dev lifecycle (TypeScript, Node.js, or SQL) is a major advantage. Apply now for a confidential discussion regarding the role, the client, and their 2026 project roadmap.
May 17, 2026
Full time
DevOps Engineer Senior or Mid Level Role: DevOps Engineer or Senior DevOps Engineer (Flexible Seniority) Security Clearance: Current DV Clearance Required (eDV Eligibility Essential) Location: Central London (Hybrid - Maximum 3 days in office) Salary: 50,000 - 85,000 (D.O.E) I am currently partnering with an elite technical consultancy that operates at the mission-critical intersection of AI, Data Science, and National Security . My client is looking for a DV-cleared DevOps specialist to join a division dedicated to solving high-stakes challenges that drive genuine societal change. This is a rare opportunity for a cleared professional to step out of "legacy" environments and work with a modern tech stack-including AI infrastructure and cloud-native automation -within a culture that offers a maximum 3-day office presence. The Choice is Yours: Engineer or Senior? My client prioritizes the right mindset and clearance level over a specific number of years on a CV. They are open to meeting candidates at two levels: Engineer ( 50k - 65k): You'll be the engine room of the deployment cycle-building robust CI/CD pipelines, automating AWS environments, and ensuring high-availability for complex AI solutions. Senior Engineer ( 65k - 85k): You will take a "player-coach" approach-architecting bespoke infrastructure, mentoring rising talent, and challenging existing orthodoxies to shape the firm's long-term engineering roadmap. The Tech Challenge Working in highly collaborative, cleared squads alongside Software Engineers and Data Scientists, you will: Automate AI Workflows: Design and deploy infrastructure for AI and Machine Learning solutions tailored for secure, restricted client environments. Scale AWS Environments: Leverage Terraform, Kubernetes, and GitOps to manage complex, highly-restricted infrastructures. Drive Operational Excellence: Act as the pivotal link between technical delivery and mission-critical requirements, ensuring solutions are robust, compliant, and cutting-edge. What You'll Bring To be successful in this process, you will need: Clearance: You must currently hold DV Clearance and be eligible for eDV . Technical Foundations: Proven experience with AWS, Docker, and Git. Infrastructure as Code: A solid grip on Terraform and/or Kubernetes. Agile Mindset: You thrive in fast-paced environments and can navigate change effectively. Software Awareness: Knowledge of the dev lifecycle (TypeScript, Node.js, or SQL) is a major advantage. Apply now for a confidential discussion regarding the role, the client, and their 2026 project roadmap.
AI Security Engineer Location: UK (Hybrid / Flexible Working) Level: Senior Sector: Financial Services We are working with a large, highly regulated financial organisation that is investing heavily in AI, cloud and next-generation security. They are looking to appoint an AI Security Engineer to help design, deliver and evolve security solutions that protect complex systems and sensitive data at scale. This role sits within a central security function responsible for safeguarding innovation, including GenAI and advanced data platforms and plays a critical part in shaping secure-by-design engineering across the business. The Role As an AI Security Engineer, you'll provide technical leadership and hands-on engineering across security architecture, cryptography, IAM and cloud-native platforms. You'll work closely with engineers, data scientists and security stakeholders to embed strong controls while enabling innovation. Key responsibilities include: Acting as a subject matter expert on security engineering patterns and best practice Designing and implementing solutions to protect systems, APIs and sensitive data Performing security audits, vulnerability assessments and supporting incident response Driving the adoption of modern cryptographic technologies and techniques Developing, implementing and maintaining Identity & Access Management (IAM) solutions Ensuring security controls align with regulatory requirements and business objectives Influencing stakeholders and contributing to security policy, governance and risk mitigation Skills & Experience Required Strong programming and scripting skills (Python and Bash essential) Solid experience with cloud platforms - AWS and/or Azure Strong understanding of API development and security Experience designing or implementing security controls in complex environments Knowledge of, or strong interest in, data science and AI-driven systems Comfortable operating in regulated, enterprise-scale environments Able to communicate complex and sensitive technical topics to senior stakeholders Why Apply? Work on cutting-edge AI and GenAI security challenges Influence security strategy within a large-scale, enterprise environment High-impact role with strong visibility across engineering and leadership teams Flexible working arrangements and a strong culture of collaboration Competitive compensation and long-term career development
May 17, 2026
Full time
AI Security Engineer Location: UK (Hybrid / Flexible Working) Level: Senior Sector: Financial Services We are working with a large, highly regulated financial organisation that is investing heavily in AI, cloud and next-generation security. They are looking to appoint an AI Security Engineer to help design, deliver and evolve security solutions that protect complex systems and sensitive data at scale. This role sits within a central security function responsible for safeguarding innovation, including GenAI and advanced data platforms and plays a critical part in shaping secure-by-design engineering across the business. The Role As an AI Security Engineer, you'll provide technical leadership and hands-on engineering across security architecture, cryptography, IAM and cloud-native platforms. You'll work closely with engineers, data scientists and security stakeholders to embed strong controls while enabling innovation. Key responsibilities include: Acting as a subject matter expert on security engineering patterns and best practice Designing and implementing solutions to protect systems, APIs and sensitive data Performing security audits, vulnerability assessments and supporting incident response Driving the adoption of modern cryptographic technologies and techniques Developing, implementing and maintaining Identity & Access Management (IAM) solutions Ensuring security controls align with regulatory requirements and business objectives Influencing stakeholders and contributing to security policy, governance and risk mitigation Skills & Experience Required Strong programming and scripting skills (Python and Bash essential) Solid experience with cloud platforms - AWS and/or Azure Strong understanding of API development and security Experience designing or implementing security controls in complex environments Knowledge of, or strong interest in, data science and AI-driven systems Comfortable operating in regulated, enterprise-scale environments Able to communicate complex and sensitive technical topics to senior stakeholders Why Apply? Work on cutting-edge AI and GenAI security challenges Influence security strategy within a large-scale, enterprise environment High-impact role with strong visibility across engineering and leadership teams Flexible working arrangements and a strong culture of collaboration Competitive compensation and long-term career development
Role: ML Lead Type: 12 Months Contract Location: London, UK Working Model: Hybrid (2 days per week in office) Payrate: (Apply online only) GBP/day on Inside IR35 on Umbrella The Role: We are seeking an ML Lead to manage our team and spearhead the design and deployment of cutting-edge Agentic Systems and LLM applications. Key Responsibilities: Team Leadership: Manage the ML team and collaborate with data scientists, software engineers, and business stakeholders. LLM & Agent Development: Build autonomous AI agents, implement Retrieval-Augmented Generation (RAG) pipelines, and fine-tune LLMs using PEFT techniques like LoRA. Data Engineering: Design and maintain robust ETL/ELT pipelines to process structured and unstructured data. MLOps & Infrastructure: Automate CI/CD pipelines, manage cloud/container infrastructure (Docker, Kubernetes), and oversee secure model deployment and performance monitoring. Responsible AI: Build trustworthy AI systems with quantifiable metrics for fairness, explainability, and compliance. This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. Com Randstad Technologies is acting as an Employment Business in relation to this vacancy.
May 17, 2026
Contractor
Role: ML Lead Type: 12 Months Contract Location: London, UK Working Model: Hybrid (2 days per week in office) Payrate: (Apply online only) GBP/day on Inside IR35 on Umbrella The Role: We are seeking an ML Lead to manage our team and spearhead the design and deployment of cutting-edge Agentic Systems and LLM applications. Key Responsibilities: Team Leadership: Manage the ML team and collaborate with data scientists, software engineers, and business stakeholders. LLM & Agent Development: Build autonomous AI agents, implement Retrieval-Augmented Generation (RAG) pipelines, and fine-tune LLMs using PEFT techniques like LoRA. Data Engineering: Design and maintain robust ETL/ELT pipelines to process structured and unstructured data. MLOps & Infrastructure: Automate CI/CD pipelines, manage cloud/container infrastructure (Docker, Kubernetes), and oversee secure model deployment and performance monitoring. Responsible AI: Build trustworthy AI systems with quantifiable metrics for fairness, explainability, and compliance. This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. Com Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Job Title: C#/.NET Software Engineer Location: South Cambridgeshire Salary: Up to 70,000 Working Pattern: Hybrid 2 days in office This is a brilliant opportunity for aC#/.NET engineer to join a fast-growing technology company whose software is used by scientists and engineers across the world. You'll be writing code that drives real machines connecting instrumentation, automation systems, and digital workflows that power cutting-edge scientific processes. It's a genuinely hands-on role where your work has direct, visible impact. The Role You'll design and build high-quality software across desktop, embedded, and server environments, working alongside a talented team of architects, engineers, and product managers to deliver robust, user-focused solutions. You'll also contribute to architectural decisions and mentor junior developers. Requirements Strong C#/.NET development experience Strong knowledge of software design principles, testing and DevOps pipelines Experience building Windows applications with XAML Familiarity with IoT protocols such as MQTT and OPC/UA SQL databases and Linux OS experience Comfortable working with AI tools If this role is of interest, please apply below.
May 16, 2026
Full time
Job Title: C#/.NET Software Engineer Location: South Cambridgeshire Salary: Up to 70,000 Working Pattern: Hybrid 2 days in office This is a brilliant opportunity for aC#/.NET engineer to join a fast-growing technology company whose software is used by scientists and engineers across the world. You'll be writing code that drives real machines connecting instrumentation, automation systems, and digital workflows that power cutting-edge scientific processes. It's a genuinely hands-on role where your work has direct, visible impact. The Role You'll design and build high-quality software across desktop, embedded, and server environments, working alongside a talented team of architects, engineers, and product managers to deliver robust, user-focused solutions. You'll also contribute to architectural decisions and mentor junior developers. Requirements Strong C#/.NET development experience Strong knowledge of software design principles, testing and DevOps pipelines Experience building Windows applications with XAML Familiarity with IoT protocols such as MQTT and OPC/UA SQL databases and Linux OS experience Comfortable working with AI tools If this role is of interest, please apply below.
Overview We are looking for a skilled Data Engineer with strong experience in Snowflake to join our growing data team. You will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support analytics, reporting, and data-driven decision-making across the organization. 6 months initial contract (OUTSIDE IR35) Remote with occasional travel into London (1 day per month) Key Responsibilities Design, develop, and maintain robust data pipelines and ETL/ELT processes Build and optimize data models within Snowflake for performance and scalability Ingest data from various sources (APIs, databases, streaming platforms, etc.) Ensure data quality, integrity, and governance across systems Collaborate with data analysts, scientists, and business stakeholders to deliver data solutions Monitor and troubleshoot data workflows and pipeline performance Implement best practices for data security, privacy, and compliance Document data architecture, processes, and workflows Required Skills & Experience Proven experience as a Data Engineer or in a similar role Strong hands-on experience with Snowflake data platform Proficiency in SQL and data modeling techniques Experience with ETL/ELT tools (e.g., dbt, Apache Airflow, Talend, Informatica) Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with data warehousing concepts and best practices Understanding of data governance and data quality principles Preferred Qualifications Experience with modern data stack tools (e.g., dbt, Fivetran, Kafka) Knowledge of CI/CD pipelines and DevOps practices Experience working with large-scale or real-time data processing systems Familiarity with BI tools (e.g., Power BI, Tableau, Looker) Snowflake certification is a plus
May 16, 2026
Contractor
Overview We are looking for a skilled Data Engineer with strong experience in Snowflake to join our growing data team. You will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support analytics, reporting, and data-driven decision-making across the organization. 6 months initial contract (OUTSIDE IR35) Remote with occasional travel into London (1 day per month) Key Responsibilities Design, develop, and maintain robust data pipelines and ETL/ELT processes Build and optimize data models within Snowflake for performance and scalability Ingest data from various sources (APIs, databases, streaming platforms, etc.) Ensure data quality, integrity, and governance across systems Collaborate with data analysts, scientists, and business stakeholders to deliver data solutions Monitor and troubleshoot data workflows and pipeline performance Implement best practices for data security, privacy, and compliance Document data architecture, processes, and workflows Required Skills & Experience Proven experience as a Data Engineer or in a similar role Strong hands-on experience with Snowflake data platform Proficiency in SQL and data modeling techniques Experience with ETL/ELT tools (e.g., dbt, Apache Airflow, Talend, Informatica) Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with data warehousing concepts and best practices Understanding of data governance and data quality principles Preferred Qualifications Experience with modern data stack tools (e.g., dbt, Fivetran, Kafka) Knowledge of CI/CD pipelines and DevOps practices Experience working with large-scale or real-time data processing systems Familiarity with BI tools (e.g., Power BI, Tableau, Looker) Snowflake certification is a plus
My client based just outside Manchester are looking for 2 x Python Developers with good SQL skills. 6 month contract, immediate starts, Outside IR35, 2 days a week in office. Key requirements 3+ years of Python in production environments Strong AWS experience across core services Strong SQL skills for querying, transformation, and optimisation Experience with Apache Spark or serverless architectures Core responsibilities and skills Build and maintain real-time and batch ETL pipelines using Python on large, complex datasets Write clean, scalable Python code for data ingestion, transformation, and processing Design and optimise SQL queries for performance, cost, and reliability across large data volumes Model and transform data into well-structured, reusable datasets for downstream use Work with distributed data processing tools such as Apache Spark to handle high-volume workloads Improve existing pipelines by identifying bottlenecks and refactoring code and queries Develop and maintain data workflows, scheduling, and orchestration processes Provision and manage AWS infrastructure using Infrastructure as Code tools such as Terraform or CloudFormation Work with services such as S3, Lambda, and other serverless components to build scalable data solutions Collaborate with analysts, data scientists, and engineers to deliver high-quality data products Follow Agile practices with a focus on continuous integration, testing, and code quality Use modern tooling, including AI-assisted development, to improve productivity and output
May 16, 2026
Contractor
My client based just outside Manchester are looking for 2 x Python Developers with good SQL skills. 6 month contract, immediate starts, Outside IR35, 2 days a week in office. Key requirements 3+ years of Python in production environments Strong AWS experience across core services Strong SQL skills for querying, transformation, and optimisation Experience with Apache Spark or serverless architectures Core responsibilities and skills Build and maintain real-time and batch ETL pipelines using Python on large, complex datasets Write clean, scalable Python code for data ingestion, transformation, and processing Design and optimise SQL queries for performance, cost, and reliability across large data volumes Model and transform data into well-structured, reusable datasets for downstream use Work with distributed data processing tools such as Apache Spark to handle high-volume workloads Improve existing pipelines by identifying bottlenecks and refactoring code and queries Develop and maintain data workflows, scheduling, and orchestration processes Provision and manage AWS infrastructure using Infrastructure as Code tools such as Terraform or CloudFormation Work with services such as S3, Lambda, and other serverless components to build scalable data solutions Collaborate with analysts, data scientists, and engineers to deliver high-quality data products Follow Agile practices with a focus on continuous integration, testing, and code quality Use modern tooling, including AI-assisted development, to improve productivity and output
Senior Software Engineer - Python - Agentic AI Fully Remote (UK) A small and talented team of engineers, data scientists, and AI specialists are quietly building something exciting. Well-backed and operating in the AI delivery space, they partner with PE backed businesses to solve complex technical and analytical problems - taking ideas from early concept through to production-grade systems. They're still early enough that the engineering culture, ways of working, and technical direction are being shaped. With a team of around 15 today and plans to grow to 50 over the next 12 months, the foundations being laid now will matter. This is where you come in. You'll join as a Senior Software Engineer, taking ownership of building production-grade systems (not just prototypes) in an environment where AI isn't a side project, it's central to what's being delivered. The work is varied and delivery-focused. You might be designing APIs one week, thinking through async processing and scale the next, and then helping shape how something is deployed, monitored, and improved in production - often in real client environments. It's not about knowing everything on day one. It's about being the kind of engineer who's curious enough to figure it out. What we're looking for Strong Python experience, particularly with asynchronous or distributed systems Solid experience building APIs and backend services Good understanding of cloud environments (Azure preferred), CI/CD, and deployment Experience building and shipping systems used in real-world environments (ideally client-facing or delivery-led) Someone who enjoys the craft of engineering, not just shipping code, but building things properly A genuine interest in AI and how it's shaping modern software development Why this role Fully remote across the UK Early-stage, but well-funded and already delivering real projects A chance to influence how things are built as the team scales Work that balances pace with quality, no endless POCs that go nowhere If you're the kind of engineer who reads about new tech out of curiosity, and you like the idea of being part of a team still figuring things out, this could be ideal for you. Hit apply or contact (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
May 16, 2026
Full time
Senior Software Engineer - Python - Agentic AI Fully Remote (UK) A small and talented team of engineers, data scientists, and AI specialists are quietly building something exciting. Well-backed and operating in the AI delivery space, they partner with PE backed businesses to solve complex technical and analytical problems - taking ideas from early concept through to production-grade systems. They're still early enough that the engineering culture, ways of working, and technical direction are being shaped. With a team of around 15 today and plans to grow to 50 over the next 12 months, the foundations being laid now will matter. This is where you come in. You'll join as a Senior Software Engineer, taking ownership of building production-grade systems (not just prototypes) in an environment where AI isn't a side project, it's central to what's being delivered. The work is varied and delivery-focused. You might be designing APIs one week, thinking through async processing and scale the next, and then helping shape how something is deployed, monitored, and improved in production - often in real client environments. It's not about knowing everything on day one. It's about being the kind of engineer who's curious enough to figure it out. What we're looking for Strong Python experience, particularly with asynchronous or distributed systems Solid experience building APIs and backend services Good understanding of cloud environments (Azure preferred), CI/CD, and deployment Experience building and shipping systems used in real-world environments (ideally client-facing or delivery-led) Someone who enjoys the craft of engineering, not just shipping code, but building things properly A genuine interest in AI and how it's shaping modern software development Why this role Fully remote across the UK Early-stage, but well-funded and already delivering real projects A chance to influence how things are built as the team scales Work that balances pace with quality, no endless POCs that go nowhere If you're the kind of engineer who reads about new tech out of curiosity, and you like the idea of being part of a team still figuring things out, this could be ideal for you. Hit apply or contact (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
