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Cyber Engineer • Contract Duration: 12 months, • Location: London or Sheffield (Hybrid - 2 days a week onsite) Day-to-day of the role: • Design, implement, and support Microsoft Sentinel infrastructure, including workspaces, data connectors, analytics rules, automation, and workbooks., • Engineer and maintain Azure security controls across core services, supporting secure cloud operations at enterprise scale., • Implement, enhance, and maintain security tooling to improve detection, monitoring, and response capabilities., • Design, deliver, and support certificate automation solutions, including lifecycle management and operational processes., • Work closely with networking teams to support secure architectures, traffic flows, segmentation, and connectivity patterns., • Actively support and participate in change approval processes, ensuring security requirements are met without impacting delivery timelines., • Provide senior-level support for BAU security engineering activities, ensuring stability and resilience of security platforms., • Act as an escalation point for complex technical issues and incidents across cyber tooling and infrastructure., • Strong hands-on experience with Microsoft Sentinel, including infrastructure and configuration., • Solid Azure platform experience, particularly from a security and infrastructure standpoint., • Strong networking background, including understanding of network security principles, firewalls, VPNs, routing, and segmentation., • Experience with a range of security tools (SIEM, monitoring, detection, and response platforms)., • Proven experience delivering and supporting certificate automation., • Experience operating in enterprise or regulated environments., • Comfortable working across project delivery, change processes, and BAU support., • Experience working alongside SOC or security operations teams., • Scripting or automation experience (e.g., PowerShell, Python)., • Exposure to DevSecOps or Infrastructure-as-Code., • Pragmatic, delivery-focused approach to security engineering., • Comfortable acting as a senior point of reference across security, change, and delivery., • Able to clearly explain technical decisions and trade-offs to engineers and stakeholders.

Data Engineer (Fabric) Sheffield City Centre Up to £50,000 Your new role Working closely with stakeholders across the UK, US and European businesses, you will help ensure data is accessible, trusted, and used effectively to support operational and strategic decision-making. This is a hands-on role combining data engineering with analytical delivery, reporting to the Global IT Manager, with a clear opportunity over time to take on greater technical ownership and help shape the direction of the data platform as it continues to mature. Responsibilities Champion data innovation within a forward-thinking manufacturing environment, integrating insights from energy systems, operational technology, ERP, and CRM platforms to drive operational improvement and support smarter financial and strategic decision-making Design, build, and continuously improve scalable end-to-end data pipelines within Microsoft Fabric, implementing and maintaining medallion architecture standards across ingestion, transformation, and presentation layers Develop and optimise trusted data models and semantic layers that enable high-quality reporting, self-service analytics, and advanced business insight Collaborate closely with stakeholders across the organisation to translate business requirements into practical data solutions and support analytics projects from discovery through to adoption and business use Shape and evolve platform standards, governance, and security practices while maintaining high levels of data quality, reliability, and performance, continuously identifying opportunities to improve tools, processes, and ways of working, and actively developing your own technical and professional capability Experience needed Hands-on experience with Microsoft Fabric, including Lakehouse, Dataflows, Notebooks, Pipelines, and workspace management, with the ability to design and support scalable data solutions across ingestion, transformation, and presentation layers Strong SQL skills, including developing, optimising, and troubleshooting queries to support data transformation and analytical models Understanding of medallion architecture and modern data engineering best practices, including data pipeline design, version control, testing approaches, and performance optimisation techniques Confident in building and maintaining robust data models and semantic layers that support high-quality reporting, self-service analytics, and advanced insight using tools such as Power BI or similar analytics platforms Proficient in preparing and validating real-world datasets, including cleansing, handling missing or duplicate records, standardising inputs, and performing exploratory analysis using Excel Experience working with structured business data from enterprise systems such as ERP and CRM platforms, with an understanding of data relationships, master data concepts, and business process integration Strong, clear communicator able to translate complex technical topics into simple, meaningful insights and narratives for a range of audiences Strong stakeholder engagement skills, building trusted relationships across business and IT teams Proactive and self-driven, with the ability to take ownership of work and see it through to completion Structured thinker with a logical approach to problem-solving and analysis Open to feedback and continuous improvement, with a growth mindset Desirable certifications (Microsoft Power BI Data Analyst, Microsoft Fabric Analytics Engineer Associate, Microsoft Fabric Data Engineer Associate) Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Up to £55,000UK - Remote (Sheffield team day every 1-2 months, travel paid)Reports to: Head of Commercial Insights This is a brilliant opportunity to join a fast-scaling marketplace in the education sector. With a brand-new Head of Commercial Insights in place, the business is rebuilding its entire data stack - from pipelines to dashboards to the semantic layer - and this hire will play a critical role in shaping how analytics operates moving forward. If you enjoy a mix of BI development, data modelling, product analysis, and commercial partnering, this role gives you autonomy, impact, and the chance to help define what "good" looks like inside a data-hungry organisation. Where you fit You'll be the go-to analyst for building the foundations of reporting and insight. Expect a blend of hands-on SQL modelling, BI development, stakeholder discovery, and behavioural analysis. The company is small (under 100 people), the appetite for data is huge, and you'll sit at the centre of decision-making across product, commercial, and operations. What you'll be doingCore analytics + modelling • Build data models (SQL, star schemas, semantic-layer-ready tables)., • Work with GCP + dbt pipelines (with support from a dedicated data engineer)., • Turn messy spreadsheets into clean, reliable, automated reporting.BI development, • Build dashboards in Omni., • Define the KPIs that matter, not just what stakeholders ask for.Product & commercial insight, • Analyse behaviour across a two-sided marketplace., • Look at retention, lifetime value, drop-off patterns, and behavioural red flags., • Do exploratory ad-hoc analysis to uncover trends and opportunities.Stakeholder partnership, • Work directly with the Head of Commercial Insights and senior leaders., • Gather requirements, challenge assumptions, and translate business questions into data logic., • 3-5 years' experience across BI / product analytics / commercial analytics., • Strong SQL (modelling, joins, transformations)., • Experience with 2+ BI tools (Tableau, Looker, Power BI, etc.)., • Understanding of data modelling (star schemas, semantic layers)., • Strong communication skills and ability to bridge business data., • Experience in marketplaces, EdTech, consumer apps, or retention-focused products., • Familiarity with GCP/dbt pipelines., • Behavioural / lifecycle analytics experience.Why this role, • Shape the data foundations of a scaling company., • Huge variety: modelling, dashboarding, product analytics, commercial insight., • Modern BI stack (Omni), • Fully remote with occasional team days in Sheffield (all paid)., • Real ownership in a business that genuinely wants data.

Trainee Data Scientist - No Experience RequiredAre you looking to kick-start a new career as a Data Scientist?We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back. We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories.Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.

Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

About the opportunity Are you ready to launch a career in Data Analytics and Business Intelligence? Netcom Training’s fully-funded Data course (NCFE Certificate in Data, Level 2) equips you with the technical skills employers are actively seeking. From data sourcing, cleansing, and analysis to visualization and reporting, you’ll gain hands-on experience that prepares you for today’s fast-growing data-driven roles. Our learners have successfully moved into roles such as Junior Data Analyst, Operations Analyst, Business Intelligence Assistant, and Database Administrator, working across tech, finance, healthcare, and the public sector. Course Details • Start Date: 20/04 & 27/04, • Duration: 6-11 weeks, • Schedule: Evening and daytime options available, • Data Management: Understand how to source, gather, and store data securely., • Data Cleansing: Learn to collate and format raw data for accurate processing., • Analysis & Insight: Analyse datasets to support key business decisions and outcomes., • Visualization: Present and communicate insights clearly to stakeholders., • Tools & Tech: Gain exposure to professional tools commonly used in the industry (e.g., Excel concepts, Reporting tools)., • Compliance: Understand secure data handling and GDPR principles., • Junior Data Analyst, • Reporting Assistant, • Data Administrator This is a government-funded opportunity. To apply, you must: • Live in South Yorkshire., • Be aged 19 or over., • Earn below the gross annual wage cap of £23,400, • Not currently be undertaking other government-funded training. This is a fully-funded course with no fees – complete the training, gain essential data skills.

• Design and implement enterprise observability platforms using OpenTelemetry, covering logs, metrics, and distributed traces., • Deploy, configure, and operate the OpenTelemetry Operator on OpenShift, including collector configuration, CRDs, and multi‑pipeline telemetry flows., • Architect and operate Kafka‑based streaming platforms, demonstrating strong expertise in brokers, partitions, replication, consumer groups, offset management, and security (SSL/SASL)., • Build and optimise high‑throughput Kafka‑backed telemetry and data pipelines, integrating with downstream systems such as Splunk or similar analytics platforms., • Design, develop, and maintain scalable ETL/ELT data pipelines using Python and SQL, with hands‑on experience across Kafka, Spark, and modern data processing frameworks., • Develop and apply robust data models supporting analytical and operational use cases., • Orchestrate data and telemetry workflows using tools such as Apache Airflow., • Work across cloud data platforms (AWS, Azure, and/or GCP), ensuring production readiness, security, and performance., • Perform advanced performance tuning, capacity planning, and production troubleshooting across observability, streaming, and data platforms., • Troubleshoot complex issues across Kubernetes/OpenShift, Kafka, OpenTelemetry Collectors, and cloud infrastructure., • Collaborate with platform, SRE, and engineering teams to embed best practices for observability, reliability, and data governance.

Project Manager – Data & Analytics Office Sheffield / Hybrid £730.56 p/d Umbrella Contract until end of 2026 The Role: HSBC is seeking a high‑calibre, proactive Project Manager to join the DAO’s Data Change Centre of Excellence. You will play a critical role in delivering enhancements to DataVisa 1.0, while supporting a multi‑year programme that includes both: • Enhancing existing tooling This is a hands‑on, delivery‑focused PM role in a large, complex global environment. Day‑to‑Day Responsibilities • Lead the planning, execution, and delivery of enhancements for DataVisa 1.0., • Ensure timely escalation of delivery risks to the Data Privacy Programme Lead., • Coordinate interdependencies across workstreams within the programme., • Hold scrum masters and delivery teams accountable; ensure momentum is maintained., • Provide hands‑on project management including:, • Stand‑ups, • Detailed requirement reviews, • Jira and Confluence oversight, • Stakeholder reporting, • Monitor progress against milestones & OKRs; prepare updates for senior leadership and governance bodies., • Identify, assess, and mitigate risks and issues across a complex delivery landscape., • Build strong relationships with global stakeholders including GBGIs, Legal, DPOs, Technology, and regional teams., • Drive continuous improvement and embed best practices., • Ensure resource allocation, budgeting considerations, and delivery quality remain on track. Requirements: • Strong end‑to‑end Project Management in large, complex organisations, • Experience supporting multiple parallel workstreams, • Confident in Jira and Confluence, • Strong stakeholder management skills are imperative, • Skilled at simplifying complex delivery concepts for non‑technical audiences, • Strong ownership mindset – able to drive, push, and hold teams accountable, • Excellent risk awareness and early escalation instincts, • Experience in regulated programmes (data, privacy, compliance, risk), • Experience in agile delivery environments, • Background in large‑scale data, technology, or digital transformation, • Not essential to come from financial services, but familiarity with complex global organisations is beneficial If you are interested, please do not hesitate to apply! Please note that in the event of a high volume of applications, we will only be able to reach out to successful applicants in the first instance.

Head of HR Location: Rotherham, South Yorkshire Salary: £70,000 to £80,000 + progression opportunity Shillito Group are partnering with a global, market-leading manufacturing business to appoint a Head of HR - a pivotal leadership role with clear scope to evolve into a European Head of HR position within the next few years. This is a rare opportunity for a high-potential HR leader who has built strong foundations in their career and is now ready to step into a broader, more strategic remit within a PLC environment. We are looking for someone with energy, ambition and commercial instinct—an individual who wants to make a tangible impact, shape a modern HR function, and accelerate their career at pace. The Opportunity This role is designed for someone on an upward trajectory. You’ll take full ownership of the UK HR function, working closely with senior leadership to drive performance, enable growth, and modernise how HR adds value to the business. You’ll operate as both a strategic partner and hands-on leader, bringing structure, pace and innovation—while building the credibility and experience needed to step into a European leadership role. A key part of your remit will be leading the evolution of HR through data, systems and AI, positioning the function as forward-thinking, efficient and commercially aligned. What the Head of HR will be responsible for: • Acting as a strategic partner to the UK leadership team, translating business objectives into a clear, commercially focused people agenda, • Driving organisational performance by aligning structure, capability and culture with growth, productivity and profitability goals, • Leading workforce planning and organisational design, ensuring the business is optimally structured to deliver against current and future demand, • Partnering with senior stakeholders to improve accountability, leadership capability and decision-making across the organisation, • Identifying and delivering cost efficiencies and productivity improvements through smarter people strategies, resource planning and process optimisation, • Leading and embedding data-driven HR, using analytics and insights to inform strategic decisions, track performance and challenge thinking, • Acting as a key advisor on business-critical change programmes, including restructures, transformation initiatives and cultural evolution, • Building and positioning HR as a value-adding commercial function, shifting perception from support service to strategic driver, • Championing digital transformation within HR, including the implementation of systems, automation and AI tools to enhance efficiency and insight, • Ensuring robust governance and risk management, balancing commercial pace with compliance and best practice, • Owning and evolving the performance management framework, driving a high-performance culture with clear expectations and measurable outcomes, • Supporting leadership in talent strategy and succession planning, ensuring capability pipelines for future growth, including international expansion, • Leading, coaching and developing your direct report while building scalable HR capability for future growth What the right Head of HR will look like: This role will suit an ambitious, career-driven HR professional who is ready for their next step up. You’ll likely have: • 5+ years’ HR experience, with recent time spent in a senior HR role (e.g. HR Business Partner, Senior HR Manager, or similar), • Experience operating in fast-paced, commercially driven environments (manufacturing or industrial experience advantageous), • A strong grounding across core HR disciplines, including ER, performance, L&D, reward and workforce planning, • Proven experience supporting or leading change and transformation initiatives, • Strong knowledge of UK employment law and practical application in complex situations, • A commercial mindset - you understand how HR drives business performance, • A proactive, resilient approach with the confidence to challenge and influence Why Join • Clear and realistic pathway to European Head of HR, • High visibility role with direct impact on business performance, • Opportunity to shape and modernise an HR function, • Work within a global PLC environment with strong growth trajectory, • Autonomy, ownership and the chance to build your leadership profile If you’re ready to step into a bigger role, accelerate your HR career, and position yourself for international leadership, we’d love to hear from you. For more information, please contact Georgia at Shillito Group

HR Advisor | Sheffield Hybrid Working c3 Days in Sheffield Salary: £38,000 - £42,000 12 Month Fixed Term Contract Elevation HR are partnering with a leading tech firm in Sheffield in the appointment of an Interim HR Consultant / HR Advisor. Reporting to the senior HR leadership, this role is key to supporting managers on all aspects of HR, delivering the HR strategy and ensuring high-impact HR support across the business both in the UK and EMEA – this would a superb opportunity for someone looking to broaden their HR exposure. The role offers generous benefits including: • 28 Days Annual Leave Plus Bank Holidays, • Hybrid Working - 2 Days working from home, • Enhanced pension, • Private Medical Insurance, • Flexible working - condensed hours available, • Death in Service Working closely with centres of excellence the role will partner closely with business leaders to strengthen performance, workforce planning, and overall organisational effectiveness. Key Responsibilities: • Act as a trusted HR advisor, building strong relationships with managers and stakeholders, • Partner with leaders to develop and implement people plans aligned to business strategy, • Support delivery of EMEA HR strategy in collaboration with HRBP, Talent, and HR Operations, • Lead on employee relations cases, including investigations and absence/long-term sickness management, • Use HR analytics to identify trends and drive improvements in performance, attrition, and absence, • Support recruitment, onboarding, and workforce planning to improve hiring outcomes, • Contribute to talent management, succession planning, and leadership development, • Promote HR best practice and ensure compliance with policies and employment legislation, • Deliver inductions and support continuous improvement of HR processes, • Coach and support junior HR team members About You: • Solid HR experience in a fast-paced environment, • Strong ER knowledge and commercial approach, • Confident influencing and stakeholder management skills, • CIPD Level 5 (or working towards) desirable, • Data-driven, proactive, and solutions-focused If the role is of interest and your skills align, please apply today.

Elevation HR are delighted to be partnering with one of our established Manufacturing businesses in Sheffield who are now looking for an experienced Rewards Analyst / Partner to deliver a comprehensive reward and benefits service to its employees on a 12 to 14-month fixed-term contract. Benefits as a Reward Analyst / Partner include: • Hybrid Working (2-3 Days working from home), • Flexible Start Times, • 25 Days Annual Leave plus Bank Holidays, • Life Assurance, • Pension up to 7.5%, • Onsite free car parking Reporting into the Group Head of Reward, you will support with the delivery of the UK reward strategy including overseesing ob evaluation and grading, partnering with the benefits platform provider and supporting HR and Payroll with day-to-day benefits delivery and communications. As a Reward Specialist you will: • Develop and maintain pay frameworks and job evaluation processes, • Partner with HRDs, HRBPs and managers on pay, promotions and hiring decisions, • Lead key Benifex cycles (holiday window, annual enrolment) and resolve queries, • Manage Share Incentive Plan queries with Payroll, • Own third-party provider queries and ensure smooth resolution, • Deliver monthly reward communications to drive engagement and benefits uptake, • Support benchmarking and salary surveys (e.g. Willis Towers Watson) and provide analytics for annual reviews, • Improve reward processes, data accuracy, reporting capability and overall employee experience The ideal candidate will have: • Experience within job evaluation and pay frameworks, • Strong people and interpersonal skills with the confidence to interact and influence all level of stakeholder, • Solid data and IT literacy, (including advanced excel) with a clear and concise communication style and the ability to share technical knowledge and data analysis results If this sounds like you, please apply today!

A leading bank is looking for an AI Data Scientist to join their team on a long-term contract basis. You will provide deep data science expertise across Generative AI, AI-enabled tools, and applied analytics; identifying where GenAI and AI tools are most influential across coding, knowledge work, engineering workflows, SDLC flow, deployment, and DORA-style measures Required Skills: • Data science - taking masses of data, modelling, looking at the data to interpret answers to share with senior stakeholders., • Must have good experience with GenAI technologies, ideally coding assistants like GitHub Copilot or Claude, • Strong understanding of SDLD, Deployment and DORA metrics and their relevance to developer productivity

Head of AI is seeking exceptional leaders to join our network of fractional Heads of AI. Our mission is to help Biotechnology and life sciences organisations evolve into AI-enabled institutions — embedding AI strategically across their research, development, operations, and decision-making. We are looking for individuals who combine deep technical fluency with board-level leadership, capable of guiding organisations as they adopt and scale the new era of generative and agentic AI. We work with organisations across biopharmaceuticals, drug discovery, genomics, clinical research, digital health, and medical devices, typically ranging from £20m–£500m+ in revenue. These organisations face increasing pressure to accelerate innovation and improve patient outcomes while maintaining strong governance, regulatory compliance, and data integrity. Our fractional Heads of AI support leadership teams in embedding AI capabilities that improve R&D efficiency, strengthen decision-making, and unlock new scientific and commercial value. We recognise that few professionals have completed a full AI transformation in life sciences. Therefore, we seek leaders with proven experience in digital, data, analytics, or operational transformation who are now applying that expertise to AI-led change. You understand how to translate ambition into action — guiding organisations through the cultural, operational, scientific, governance, and regulatory shifts required to unlock AI’s potential. What We Are Looking For: AI-Driven Business Transformation Leaders: Proven experience leading complex transformation programmes where technology, data, and innovation reshaped business performance. Able to apply that experience to the generative AI era — guiding biotech and life sciences organisations through the shifts required to become AI-enabled. Can connect earlier digital, analytics, or automation expertise with today’s agentic and generative AI capabilities. Deep Technical Fluency: Fluent in modern AI ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML, analytics, and scientific data systems (e.g. genomics, clinical, real-world data) with emerging AI architectures to deliver measurable value. C-Suite and Board-Level Communicators: Able to simplify complex AI and scientific topics for executives and align AI investments with organisational strategy. Confident advising CEOs, CTOs, Chief Scientific Officers, and Boards on strategy, risk, governance, and ROI. Change Leaders: Strong stakeholder engagement and ability to drive adoption. Skilled in mentoring teams, developing AI literacy, and ensuring responsible AI practices. Understands data governance, regulatory requirements (e.g. GxP, FDA/EMA), and human-in-the-loop design needed for AI success in life sciences. Entrepreneurial Mindset: Thrives in ambiguity and fast-paced environments. Curious about new AI tooling and pragmatic about implementation. Focused on delivering measurable outcomes through experimentation and iteration. What We Are Not Looking For: • Legacy executives without hands-on AI or GenAI understanding, • Academic or research-focused professionals without applied business outcomes, • Technologists who lack leadership or transformation delivery experience, • Consultants who only advise but have not led execution, • Corporate-only leaders reliant on large structures Desired Profile Summary The ideal candidate will serve as a Fractional Head of AI / AI-Driven Transformation Leader, focused on helping biotech and life sciences organisations design and execute end-to-end AI strategies, roadmaps, execution plans, and governance frameworks. They will bring 10–20+ years of experience across AI, data, digital transformation, analytics, or life sciences innovation, with a proven ability to translate technology into measurable scientific and commercial outcomes. They are experienced transformation leaders — such as Heads of Data Science, Chief AI Officers, AI Strategy Leads, or Digital Transformation Leaders — who have evolved beyond model development into organisational change and value delivery. Candidates with a data science or bioinformatics foundation are welcome, provided they demonstrate fluency in modern AI technologies (LLMs, copilots, orchestration frameworks) and executive-level influence. They thrive in fractional roles (1–5 days per week) and bring an entrepreneurial, adaptable, and outcome-driven mindset. We welcome applications from professionals passionate about helping life sciences organisations harness AI responsibly and at scale.

Data Engineer (Azure) in Public Sector Consultancy environment Please note you must have an existing and ACTIVE SC Clearance to be considered We’re looking for Data Engineers of varying levels, on a permanent basis to join a growing consultancy delivering modern data platforms and analytics solutions across public sector clients. Location: must be able to travel to either London or Manchester (Hybrid, weekly - expenses are covered) Salary: £45,000 – £95,000 - dependent on level/experience (mid, senior, principle) Security Clearance: SC active Requirements: • Databricks and Spark / PySpark (absolute must haves), • Azure and AWS experience, • Data warehouses / lakehouse platforms, • CI/CD and modern engineering practices, • Public sector/Central government, • SC Clearance - must be current and active

Founding Backend Engineer / Platform Lead (FinTech) Location: UK (Remote - only within the UK) Stage: Early-stage fintech Salary: up to £75,000 About Mia Wealth Mia Wealth is the UK's next generation family wealth and gifting app for children. It makes it easy for parents, grandparents, family and friends to buy investments for children’s birthdays etc ie turning gifts into long-term wealth instead of more toys. No one is owning the junior investment market - until now - and by doing so we capture the next generation of lifelong investors. We’re a small but ambitious team, on a mission to improve the lives of millions of children across the UK. You won’t just join a system - you’ll help define it. The Opportunity This is a high-ownership role for someone who enjoys building systems properly and seeing them operate in the real world. You’ll own the backend platform end-to-end - from API design and infrastructure to fintech integrations, operational tooling and production systems - and play a key role in shaping how the product evolves. This role goes beyond building features. You’ll also be responsible for creating the internal tools and capabilities that allow the business to operate effectively, including: • Rapid issue resolution, • Operational workflows, • Compliance processes, • Data analysis and reporting What You’ll Be Doing: Platform & Backend • Own and evolve the backend API (Node.js / TypeScript / Postgres), • Design scalable, secure, and reliable API-first systems, • Build and operate production-grade APIs at scale, • Work with PostgreSQL (schema design, migrations, performance tuning) Production & Operational Ownership • Own backend operational support, including:, • Triaging and resolving P1 issues, • Diagnosing problems across systems, • Advising Customer Support on issue handling and customer communication, • Improve observability, reliability and performance, • Ensure fast, structured response to production incidents Fintech Integrations • Integrate with providers such as:, • Open banking & payments (TrueLayer, Stripe, Yapily), • Investment platforms (e.g. Seccl), • KYC providers (e.g. VouchSafe), • Subscription tooling (e.g. RevenueCat), • Handle webhooks, reconciliation flows and provider edge cases, • Ensure data consistency across systems Operational Tooling & Automation • Build internal tools to enable:, • Operational efficiency, • Compliance workflows, • Reporting and data visibility, • Bring a mindset of automation and appropriate use of AI to improve processes and reduce manual effort Cloud & Infrastructure • Own and evolve cloud infrastructure (GCP preferred):, • Cloud Run, API Gateway, Load Balancer, Cloud Armor, VPC, • Cloud SQL (Postgres with private networking), • Contribute to CI/CD pipelines (GitHub Actions), • Support infrastructure as code and scalable environments Security & Compliance • Implement secure authentication & authorisation (JWT, OAuth, MFA), • Ensure secure handling of sensitive data (PII, financial data), • Build systems aligned with FCA and GDPR requirements, • Support auditability, data integrity and penetration testing standards (CREST) Product & Collaboration • Work closely with product, mobile and operations teams, • Translate business requirements into technical solutions, • Identify risks, dependencies and trade-offs early, • Contribute ideas on how technology can improve and scale the business What We’re Looking For: Must Have • Strong backend experience (Node.js / TypeScript), • Experience with PostgreSQL in production environments, • Experience building and operating production APIs at scale, • Hands-on experience with cloud infrastructure (GCP, AWS or similar), • Strong experience integrating payment systems (TrueLayer, Stripe, Yapily or similar), • Solid understanding of:, • REST API design, • Authentication (JWT, OAuth), • Webhooks and event-driven systems, • Strong debugging skills across distributed systems, • Experience working in fintech or regulated environments, • Start up mind set (being start up ready) Highly Desirable • Startup or early-stage experience, • Experience with KYC / identity verification systems, • Familiarity with investment platforms, • Experience with cloud networking (VPC, private IP), • Experience with CI/CD and infrastructure as code, • Experience working alongside mobile apps (iOS, Android) Nice to Have • Exposure to FCA / GDPR environments, • Experience with analytics, tracking or A/B testing frameworks What Success Looks Like: • You’ve taken ownership of the backend and improved system reliability, • Operational issues are resolved quickly and effectively, • Customer Support is well-informed and supported on technical issues, • Systems are secure, scalable and compliant by design, • The platform is ready to support growth without rework How You Work (This Matters as Much as Your Skills): • Fully accountable - you take ownership end-to-end, • Responsive - you understand the impact of operating a live product, • Proactive - you identify and solve problems before being asked, • Solution-focused - you don’t just highlight issues, you fix them, • Clear communicator - able to work effectively with non-technical teams, • Commercially aware - you balance what’s ideal with what’s achievable, • Impact-driven - you think about customers, not just code Why Join: • Real ownership from day one, • Meaningful technical challenges in a high-trust environment, • Direct impact on product, architecture a nd business outcomes What’s on offer (additional benefits): • Unlimited annual leave, • Generous Equity, • Remote & flexible working, • Pension contribution, • Life Insurance, • Performance related bonus, • A bonus day off for your birthday, • True ownership and impact, • Parental benefits, • Career progression

Senior Data & Analytics Lead (Contract) GTS Space is working with a company who operate at the forefront of advanced engineering and technology programmes across highly regulated environments. They are currently looking to engage a Senior Data & Analytics Lead on a contract basis to support a critical phase of their digital transformation. This is an urgent requirement, offering the opportunity to take ownership of data strategy, reporting frameworks and emerging AI capabilities within a complex, multi-system environment. The role You will act as the central point for data architecture, reporting and analytics, helping to bring structure, governance and scalability to how data is used across the organisation. Working across multiple teams, you will play a key role in shaping how data is modelled, consumed and leveraged to drive operational and strategic decision-making. Key responsibilities • Define and implement scalable data models and reporting structures to support business-wide analytics, • Establish and promote a single, consistent view of data across multiple systems, • Lead the design and delivery of interactive dashboards and reporting solutions, • Work with internal stakeholders to improve data quality, governance and control frameworks, • Identify opportunities to enhance processes through automation and intelligent data solutions, • Support the adoption of AI-driven tools and capabilities to improve insight generation, • Act as a technical point of contact for data-related initiatives across the business, • Strong experience delivering data and reporting solutions in a complex environment, • Advanced capability with Power BI or similar BI tools, including data modelling and visualisation, • Solid understanding of data structures, governance and transformation processes, • Experience working with SQL and structured data environments, • Exposure to AI, automation or advanced analytics tools, • Comfortable working across both technical and business-facing stakeholders, • Able to work in a fast-paced, delivery-focused contract environment, • Eligible for security clearance, • Immediate impact in a business-critical programme, • High level of autonomy and ownership, • Opportunity to shape data and AI capability from a practical, delivery-focused perspective

Job title: Electronic Design Engineer Location: Reading/Glasgow sites available within hybrid working arrangements. Mission Akkodis, is a global leader in the engineering and R&D market that is leveraging the power of connected data to accelerate innovation and digital transformation. With a shared passion for technology and talent, 50,000 engineers and digital experts deliver deep cross-sector expertise in 30 countries across North America, EMEA and APAC. Akkodis offers broad industry experience, and strong know-how in key technology sectors such as mobility, software & technology services, robotics, testing, simulations, data security, AI & data analytics. The combined IT and engineering expertise brings a unique end-to-end solution offering, with four service lines – Consulting, Solutions, Talents and Academy – to support clients in rethinking their product development and business processes, improve productivity, minimize time to market and shape a smarter and more sustainable tomorrow. Akkodis is part of the Adecco Group and is a commercial brand under which both AKKA and Modis entities operate. Scope The Electronic Engineer develops integrated hardware solutions, both utilising COTS components and designing bespoke systems, through design, development, verification, and validation. In this role you will produce electrical interconnect designs, cable schedules, ICDs, wiring schedules, LV distributions, earth & bonding strategies, assess the impact of EMI / EMC, RoHS, REACH and LV Directive on the electrical designs, etc. Responsibilities • Satisfy the HW requirement set through design, development, and test activities., • Implement the hardware architecture in physical and electrical form, fit and function., • Support Manufacturing and Procurement during the build phase, i.e. respond to Problem Reports and implement Engineering Change Requests., • Define the Design Proving / Hardware Test Specifications and use these during qualification., • Define the EMC and Environmental Test Specifications and use these during qualification., • Design and develop any special test equipment to facilitate the above. Skills • General Electronic and Electrical Engineering (degree level)., • COTS AC and DC LV power supplies., • Designing with PCI, RS485/232, Hotlink and Ethernet interfaces., • Designing cables and harness assemblies, utilising military style connectors and backshells, such as MIL-DTL-38999., • An understanding of cable screening methods and military style cable construction methodologies., • Designing to meet EMC and environmental standards / requirements. Experience • Strong relevant experience of the Skills listed above or associated experience that can be applied to electronic, electrical and electro-mechanical design in a regulated industry., • Design and specification of COTS and bespoke sub-assemblies and equipment suitable for 19” racks / cabinets., • Interconnection Design (i.e. wiring harnesses, copper or fibre optical network interconnections, connector types, power distribution and data comms, spatial constraints, environmental considerations)., • Full engineering lifecycle experience (Capture, Design, Implementation, Test)., • Working with requirements in a structured and evidential manner., • Production of Design / Test Specifications and Test Reports.

About the Company Our client is an established, globally operating SaaS business within the travel and hospitality technology space, supporting tens of thousands of customers worldwide. Following significant recent investment in product and platform evolution, the business is now entering a critical phase focused on embedding AI and machine learning at the core of its commercial and product strategy. This is a transformation role with direct visibility at executive level and real influence over how the business evolves. The Opportunity This is not a traditional data science role. You will operate at the intersection of AI strategy and hands-on execution, working directly with senior leadership to define, build, and deploy AI-driven capabilities across the organisation. The focus is on practical application, speed, and measurable impact — particularly in areas such as pricing optimisation, forecasting and intelligent automation. You will play a central role in shaping how modern AI technologies (LLMs, prompt engineering, ML models) are embedded into both the product and the broader business. Key Responsibilities • Design and implement AI-driven solutions across product, pricing, and internal workflows, • Apply LLMs and prompt engineering techniques to real-world business challenges, • Build and deploy machine learning / deep learning models, particularly within pricing and forecasting contexts, • Work with distributed data sources, APIs and emerging frameworks (including MCP where relevant), • Influence product and engineering teams to adopt AI-first thinking, • Help modernise and evolve legacy systems into scalable, future-ready architectures, • Drive standardisation of data, language and structures across the business, • Deliver solutions that are production-ready and commercially impactful, not theoretical Experience & Technical Background We are looking for a strong blend of hands-on AI capability and applied commercial thinking, including: Core AI / LLM Expertise • ~5+ years working with AI, including prompt engineering and LLM structures, • Strong understanding of how to manipulate and optimise LLM outputs, • Experience integrating AI into production environments via API-based architectures Data & Architecture • Experience consuming and working with data via APIs, • Exposure to MCP (Model Context Protocol) or similar frameworks (desirable, not essential), • Ability to work with complex, distributed and evolving data environments Machine Learning • Strong grounding in machine learning and/or deep learning models, • Understanding of regression models and predictive modelling, • Interest or experience in price forecasting and predictive analytics Who You Are This role is as much about mindset as it is about technical capability. You are: • A builder and operator — you lead by doing, not delegating, • A pace-setter — others follow your example, • A change agent — you challenge the status quo and improve how things are done, • Highly execution-focused — you can explain a solution clearly in minutes, not documents, • Equally comfortable with strategy and hands-on delivery, • Commercially driven — focused on revenue, growth, and real-world impact, • Resilient and adaptable — comfortable working with both modern and legacy systems, • Motivated by solving complex problems and seeing your work deployed at scale You also bring: • A strong appreciation for structured thinking, language, and data consistency, • A desire to bring clarity and standardisation to complex environments, • A collaborative mindset — able to work effectively across engineering and leadership teams Package: • Up to £150,000 base salary, • 15% performance-based bonus, • Fully remote working, • Ability to make a real difference at executive level, • Vast career opportunities, • Many other perks... Why This Role? This is a rare opportunity to step into a high-visibility, high-impact AI role within a scaling SaaS business, where you will directly influence product direction, commercial outcomes and the adoption of AI across the organisation. If you’re looking for a role where you can build, shape, and deliver — not just advise — this is it.

Accelerant is seeking a Product Area Lead Architect to provide hands on, operational architectural leadership for our Insights, Analytics & Workflows product area. This role operates at a Principal level, influencing architecture and execution across multiple autonomous product teams. You will work closely with team architects, engineering managers, product managers, and Data Science teams to ensure teams move fast without fragmenting the architecture. This is not an ivory tower architecture role. It is highly collaborative, pragmatic, and operational, focused on identifying architectural gaps, managing dependencies, and enabling teams to execute confidently within a shared architectural framework. You will champion standards based architecture, leveraging web standards, open protocols, and industry conventions to build interoperable, accessible, and future proof systems. Key Responsibilities Operational Architectural Leadership • Ensure architectural alignment across product teams, partnering closely with team architects and engineering managers, • Proactively identify architectural gaps, technical debt, and quality risks; drive resolution through collaboration and influence, • Manage cross team technical dependencies to enable independent, parallel execution, • Translate architectural strategy into clear, actionable guidance that teams can apply sprint by sprint Cross Team Coordination & Alignment • Facilitate architectural discussions and resolve technical conflicts across teams through principled, pragmatic decision making, • Act as an escalation point for complex cross team technical challenges, • Ensure architectural decisions are clearly communicated, understood, and consistently applied Design and Innovation • Define and maintain architectural patterns across backend services, APIs, data platforms, and front end systems, • Design scalable, resilient systems for analytics, workflow orchestration, and intelligence features, • Guide decomposition of legacy systems into well defined services and domains, • Evaluate technologies and data stores, favoring open standards and long term maintainability, • Architect distributed systems with focus on reliability, fault tolerance, and scalability Standards & Governance • Establish API design standards ensuring consistency, discoverability, and ease of integration, • Define front end standards prioritizing web platform capabilities, progressive enhancement, and accessibility (WCAG), • Create governance frameworks that balance standardization with team autonomy, • Drive adoption of industry standards (OAuth2, OpenID Connect, OpenTelemetry, JSON:API) over proprietary alternatives Technical Leadership • Partner with engineering teams on design reviews, PR reviews, and implementation guidance, • Establish standards for cross cutting concerns: API versioning, auth, observability, error handling, and resiliency patterns, • Collaborate with platform and DevOps teams on containerization, CI/CD, and cloud native deployment, • Produce clear technical design documentation that drives alignment and knowledge sharing, • Mentor engineers and raise the overall architectural maturity of the organization GenAI, ML & AI Architecture • Architect customer facing GenAI features using LLMs, including RAG pipelines, prompt engineering frameworks, and conversational AI interfaces, • Define patterns for ML model integration: serving endpoints, API contracts, versioning, and health monitoring, • Partner with Data Science to translate models into production grade features with clear integration contracts and deployment workflows, • Establish standards for responsible AI, including evaluation criteria, privacy guardrails, and LLM output validation AI Transformation & Productivity Leadership • Scale AI driven development workflows across teams, ensuring engineers leverage AI coding tools effectively, • Guide team architects and coach senior engineers on using AI tools to enhance productivity and code quality, • Work hands on with teams to identify opportunities for AI to solve operational challenges and improve velocity Solution Evaluation & Quality Assurance • Evaluate and recommend technologies to enhance capabilities across analytics, workflow, and intelligence domains, • Ensure architectural integrity through code reviews, assessments, and continuous monitoring, • Proactively identify technical risks and devise strategies for reliability, security, and performance Technical Requirements Full Stack SaaS Architecture: • Strong proficiency in modern JavaScript/TypeScript and Node.js, • Deep knowledge of web platform fundamentals and browser native capabilities, • Experience designing and evolving well structured APIs for platform integrations Architectural & Systems Thinking: • Deep knowledge of architecture principles, design patterns, and distributed systems, • Proven ability to make pragmatic tradeoffs in complex, evolving systems, • Experience in cloud native environments, preferably AWS AI Enabled Engineering: • Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, Claude, etc.), • Understanding of AI applications for development productivity and code quality improvement Qualifications • 8 to 12+ years in software engineering and architecture roles, • Proven experience operating across multiple agile teams in an architectural leadership capacity, • Track record of managing cross team dependencies and bridging architectural vision with day to day execution, • Proven ability to drive AI adoption and transformation within engineering organizations, • Excellent communication and facilitation skills with ability to align work across distributed teams, • Pragmatic, operational mindset with strong problem solving abilities, • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

About the Role We’re partnered with a growing, data-led technology business that is scaling its data capabilities and investing heavily in how data is structured, accessed and used across the organisation. We are looking for a Data Analyst with experience in Analytics Engineering & BI Development with strong SQL expertise at the core of their skillset. This role sits at the intersection of data engineering and business intelligence, combining hands-on data transformation with impactful reporting and visualisation. You’ll play a key role in shaping how data is modelled, consumed and leveraged by teams across the business, enabling better and faster decision-making. The Opportunity This role is ideal for someone who: • Enjoys working deeply with data using SQL, • Wants ownership over how data is structured and delivered, • Is comfortable bridging technical and business teams, • Likes seeing their work directly influence commercial and operational decisions Key Responsibilities • Design and develop scalable data models within a cloud-based data warehouse, • Write, optimise, and maintain complex SQL queries for data transformation and analysis, • Build clean, reliable datasets to support reporting and analytics use cases, • Develop dashboards and reports using modern BI tools, • Translate business requirements into clear, user-friendly data outputs, • Partner with stakeholders across product, commercial, and operations teams, • Implement data quality checks to ensure accuracy and consistency, • Improve performance of queries, pipelines, and reporting outputs, • Identify opportunities to automate and streamline data processes What We’re Looking For Core Experience (Essential) • Strong SQL skills (this is critical) — proven ability to write complex queries (CTEs, window functions, optimisation, performance tuning), • Experience building and maintaining data models for analytical use, • Background in a BI / Analytics Engineering / Data Analyst type role, • Hands-on experience with at least one major BI tool (e.g. Tableau, Power BI, Looker, etc.), • Experience working with cloud data platforms (e.g. Snowflake, BigQuery, Redshift, Databricks), • Understanding of ETL/ELT processes and data transformation workflows, • Experience working with non-technical stakeholders and translating requirements Nice to Have • Experience with modern data transformation tools (e.g. dbt or similar), • Exposure to workflow orchestration tools, • Familiarity with version control (e.g. Git) Key Skills & Attributes • Highly analytical with strong problem-solving ability, • Excellent attention to detail, particularly around data accuracy, • Strong communication skills — able to explain complex data clearly, • Commercial awareness and ability to link data to business outcomes, • Proactive mindset with a sense of ownership, • Collaborative approach, working effectively across teams The Package • Up to £65K base salary, • Private Health and Dental, • Generous Pension scheme, • Income protection, • Many other great benefits... Why Join? • Opportunity to shape and influence a growing data function, • High-visibility role with direct impact on business decisions, • Modern data stack and strong investment in data capabilities, • Flexible working environment (remote or hybrid available), • Collaborative, forward-thinking culture, • Vast amounts of career opportunities

Do you want to use data science to reduce hospital admissions and improve patient outcomes? Have you worked on projects where your models directly influenced real-world care decisions? Are you ready to deliver AI solutions embedded within healthcare systems, not just prototypes? A leading UK consultancy is building a dedicated AI & Data Science team to deliver high-impact work across health and social care. They specialise in embedding technical teams directly within client environments — working alongside clinicians, operational leads, and public sector stakeholders to deliver measurable change. With a strong track record in complex, regulated environments, they’re now scaling their capability across ML, NLP, and advanced analytics. As a Data Scientist (Lead / Principal), you’ll work on projects that directly impact patient care and system efficiency. Recent work includes predictive analytics for fall prevention, combining structured data and clinical notes to trigger early interventions and reduce hospital admissions. Key Responsibilities • Build and deploy data science, ML and NLP models for healthcare and social care use cases, • Work with structured data and unstructured clinical datasets, • Partner with stakeholders to design and deliver end-to-end solutions, • Translate modelling outputs into measurable outcomes (e.g. reduced admissions, improved care pathways) Key Details • Salary: £80,000 - £130,000, • Working model: On-site 3+ days/week with healthcare clients across England, • Tech stack: Python, NLP libraries, MLflow, Databricks, Azure, simulation tools, • Visa: This role cannot sponsor Interested? Please apply below.

Analytics Engineer - 12 month fixed term contract UK Remote £67,000 plus benefits This Analytics Engineer role stands out as a chance to play a key part in a large scale Lakehouse programme, sitting at the intersection of engineering, analytics and the wider business. You will take real ownership of curated data models, shape how data is structured and served across the organisation, and influence best practice as the analytics engineering capability continues to grow. The Company They are a large, well established UK organisation with a strong reputation for combining technical excellence with a people first culture. Data and analytics are a strategic priority, with ongoing investment into a modern cloud based data platform. Engineering teams are expanding as part of a broader transformation, creating genuine opportunities to have impact and influence. The Role You will join a growing analytics engineering team and play a critical role in the Lakehouse environment. Your responsibilities will include: • Leading the design and delivery of curated, analytics ready data models within the Lakehouse, • Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight, • Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks, • Embedding data quality, testing, reliability and performance into the curated layer, • Working closely with data engineers, BI teams and business stakeholders to translate complex requirements, • Providing technical leadership, mentoring and setting modelling and engineering standards, • Strong commercial experience as an Analytics Engineer within a modern data platform, • Excellent data modelling capability, including dimensional and semantic modelling, • Advanced SQL skills and strong hands on experience with PySpark, • Experience working with Databricks and Lakehouse architectures, • A solid grounding in engineering best practices, testing and data quality, • Confidence mentoring others and taking ownership of technical decisions, • Flexible by choice working, supporting different schedules and work life balance, • A 35 hour working week within a supportive, inclusive engineering culture If you are an Analytics Engineer looking to make an impact in a growing Lakehouse environment, apply now to find out more.

Staff Data Engineer | SQL, Python, AI-Ready Systems | Up to £150k, Remote We’re hiring a Staff Data Engineer to work directly with senior stakeholders of a company building one of the world’s largest data platforms. This role is focused on solving complex, real-world data problems not dashboards or standard analytics. This is a high-impact IC role with real ownership over core data systems. You’ll be working with messy, multi-source data (global company and ownership data), and will own how that data is structured, cleaned, and made usable across the business and for AI systems. What you’ll be doing: • Designing robust data models for complex, inconsistent datasets, • Handling challenges like deduplication, identity/entity resolution, and data quality, • Building scalable pipelines with SQL, Python, and modern data tools, • Structuring data so it’s reliable, explainable, and AI-ready (LLMs/RAG) What they’re looking for: • Strong SQL + Python experience, • Background in data engineering or analytics engineering at scale, • Experience working with messy or multi-source datasets, • Someone who cares about data quality, correctness, and real-world meaning, • Bonus: experience in fintech, risk, identity, or similar complex data domains Remote £120k–£150k Staff Data Engineer | SQL, Python, AI-Ready Systems | Up to £150k, Remote

Senior Analytics Engineer - 12 month fixed term contract UK Remote £78,000 plus benefits This Senior Analytics Engineer role stands out as a chance to play a key part in a large scale Lakehouse programme, sitting at the intersection of engineering, analytics and the wider business. You will take real ownership of curated data models, shape how data is structured and served across the organisation, and influence best practice as the analytics engineering capability continues to grow. The Company They are a large, well established UK organisation with a strong reputation for combining technical excellence with a people first culture. Data and analytics are a strategic priority, with ongoing investment into a modern cloud based data platform. Engineering teams are expanding as part of a broader transformation, creating genuine opportunities to have impact and influence. The Role You will join a growing analytics engineering team and play a critical role in the Lakehouse environment. Your responsibilities will include: • Leading the design and delivery of curated, analytics ready data models within the Lakehouse, • Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight, • Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks, • Embedding data quality, testing, reliability and performance into the curated layer, • Working closely with data engineers, BI teams and business stakeholders to translate complex requirements, • Providing technical leadership, mentoring and setting modelling and engineering standards, • Strong commercial experience as an Analytics Engineer within a modern data platform, • Excellent data modelling capability, including dimensional and semantic modelling, • Advanced SQL skills and strong hands on experience with PySpark, • Experience working with Databricks and Lakehouse architectures, • A solid grounding in engineering best practices, testing and data quality, • Confidence mentoring others and taking ownership of technical decisions, • Flexible by choice working, supporting different schedules and work life balance, • A 35 hour working week within a supportive, inclusive engineering culture If you are a Senior Analytics Engineer looking to make an impact in a growing Lakehouse environment, apply now to find out more.

Founding Engineer – AI/ML (Stealth Start-Up) Location: Fully Remote (UK) Salary: £120,000 + 1.25% equity Company Overview: A stealth-mode e-commerce AI start-up is building a conversational AI sales agent that acts like a knowledgeable in-store salesperson online. Unlike static browsing or basic recommendation systems, this AI engages in real conversations, understands product attributes, compatibility, visual features, and domain expertise, and provides genuinely expert guidance. Every interaction generates high-intent data on customer needs, objections, and unmet demand. This intelligence powers segmentation, product development, and personalisation — far beyond traditional analytics. Long-term, the company is building the cognitive core for future robotic sales agents: the mind that makes expert guidance possible. The founding team brings deep experience: one founder is a 3x founder, investor, and executive with 14+ years building software, consumer, and supply chain start-ups, and the other is an ex-FAANG engineer with deep technical expertise. Role Overview: As the Founding Engineer – AI/ML, you will be at the forefront of developing the intelligence that powers the AI agent. You will design, build, and scale the AI models, data pipelines, and cognitive systems that drive conversational recommendations and insights. This is a unique opportunity to shape the core AI and influence the company's product strategy from day one. Responsibilities: Design, develop, and optimise AI/ML models for conversational understanding, product recommendation, and decision-making. Build pipelines and systems to capture and leverage high-intent customer interaction data. Collaborate closely with founders to define technical roadmap and product strategy. Contribute to designing the memory, reasoning, and cognitive architecture for expert-level AI guidance. Implement scalable solutions that can operate in real-world commerce settings. Requirements: Strong expertise in AI/ML, NLP, and recommendation systems. Proven experience building scalable AI systems end-to-end. Ability to work in an early-stage, high-autonomy environment. Interest in product intelligence, customer experience, and cognitive AI systems. Excellent problem-solving skills, growth mindset, and passion for building cutting-edge AI. Perks & Benefits Competitive salary: £120,000 + 1.25% equity Fully remote within the UK Ground-floor opportunity in a stealth start-up Significant impact on AI architecture, product strategy, and company direction

Data Engineer Remote UK Salary: £45,000 - £55,000 This is an exciting opportunity to step into a high-impact Data Engineering role within a fast-scaling data and machine learning environment. You will sit at the core of the engineering function, working closely with a large data science group and shaping the foundations of their internal tooling and pipelines. The Company They are a rapidly growing data and analytics organisation operating in the alternative data and machine learning space. Their platform powers KPI prediction models used by investment-focused clients, and they have built a strong engineering culture to support a substantial data science function. With significant recent investment and continued growth, they are now expanding their ETL and automation capabilities to strengthen internal workflows and infrastructure. The Role You will focus on building, maintaining, and optimising internal ETL pipelines and workflow automations that support data scientists and enable reliable, scalable reporting. Key responsibilities include: • Designing and maintaining custom ETL pipelines in a cloud-native environment., • Automating internal processes and integrations across tools and APIs., • Supporting workflow orchestration using technologies such as Airflow or AWS Step Functions., • Containerising and deploying services using Docker., • Collaborating with data scientists to streamline their data workflows., • Contributing to improvements across orchestration, tooling, and internal engineering processes. Your Skills and Experience • Strong commercial experience with Python and common data libraries., • Proven ability to build and maintain ETL pipelines., • Hands-on experience with AWS services., • Experience with Docker and containerised workflows., • Familiarity with workflow orchestration tools., • Comfortable integrating with APIs and external tooling., • A practical, delivery-focused approach with the ability to own tasks end to end. How to Apply If this sounds like your next step, please send your CV to register your interest.

ABOUT US ___, part of Capgemini, tackles the hardest work in data for the world’s largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti’s Data First strategy transforms data from an afterthought into a strategic asset—unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. Syniti’s cloud-native platform sets new standards in enterprise data management, combining powerful SaaS solutions with deep domain expertise. Designed for agility and scale, our technology helps customers accelerate digital transformation, drive innovation, and make confident decisions with trusted data. Every product enhancement is built to solve real business challenges—empowering organizations to unlock value from their data faster and more effectively. THE ROLE The Principal SRE – Azure Specialist will drive the design and implementation of automation, observability, and operational excellence within Syniti’s Microsoft Azure-hosted runtime environments. This role will focus on architecting and deploying globally scalable, regionally compliant (Cyber Essentials+, SecNumCloud), zero trust architectures. This engineer will lead the technical project to port Syniti’s SaaS architecture and services from AWS to Azure, ensuring platform consistency, operational parity, and regulatory alignment. They will serve as a cross-functional technical leader, developing resilient IaC frameworks, secure deployment models, and integrating Azure-native services with Kubernetes (AKS) and Syniti’s platform stack. WHAT YOU WILL DO • Design and maintain Azure-hosted environments supporting the Syniti SaaS platform across multiple global regions., • Build reusable IaC modules in Terraform for network, compute, and managed PaaS services., • Integrate Azure-native logging, security, and cost optimization with observability pipelines., • Lead incident resolution and proactive failure domain analysis within Azure-hosted regions., • Develop secure service-to-service communication standards leveraging Azure AD workload identity and pod identities., • Collaborate with Compliance and Security to meet UK, EU, and French regional regulatory requirements., • Drive self-healing systems using automation to reduce toil and human intervention., • Support cloud region expansion and infrastructure builds via GitOps and pipeline automation. WHAT IT TAKES • Self-starter with deep understanding of hybrid cloud patterns and Azure ecosystems., • Ability to thrive in a high-stakes, distributed operations environment with mission-critical SaaS systems., • Strong communication and cross-regional collaboration capabilities., • Deep technical expertise across Azure infrastructure and platform services., • Comfort working with engineers across DevOps, Security, and Product teams to deliver shared outcomes., • 15+ years of experience in infrastructure, cloud, or SRE roles., • 5+ years designing or operating in Azure environments including AKS, Storage, VNets, Private Link, Azure Monitor., • 3+ years proficiency with GitOps and declarative infrastructure patterns using tools like Terraform, Bicep, or Pulumi., • 3+ years implementing or maintaining CI/CD pipelines., • 2+ years of Software Development experience, • Advanced scripting skills in Bash, Python, or Go., • Strong understanding of managed identity, Azure AD, and Kubernetes identity integrations., • Think Big - Be courageous and bold. Aspire to greatness. Relentlessly pursue market innovation. Set the standard by which others follow. Create solutions that have a meaningful impact. Solve the challenges our customers don’t know they have., • Be Curious - Be a lifelong learner. Seek out new ideas to serve customers. Understand our competition and the world. Be permanently dissatisfied with the status quo. Challenge preconceptions. Focus on the future rather than yesterday., • Take Action - Be the first. Don’t wait. Take accountability. Inspire others by doing. Fail fast and learn from mistakes. Make a difference every day., • Stronger Together - Respect, trust and look out for each other. Celebrate diverse perspectives. Listen. Build connections and belonging. Act with integrity. Give back. One Syniti family. WHAT WE OFFER • Trust that you are proficient at what you do. At Syniti, you will find a supportive environment and access to learning tools, but micromanagement is not our thing., • Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly, you will have the chance to shape our journey and share in our success story., • Support. We all rely on each other and enable each other to be successful. You won’t stand alone., • Curiosity and genuine interest in you. We all have our different stories, all equally fascinating, with each depicting a different journey, and we want to hear them all., • Recognition. We are the sum of individual achievements, and we always take the time to celebrate them., • An open organisation. Hierarchies are not our thing, and access is something we make sure of across the board. We are a family where everyone is just as important, everyone’s work is seen, and ideas are valued. OUR COMMITMENT TO INCLUSION At Syniti, we’re committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger — and we value the unique backgrounds, experiences, and voices each person brings to our team. We welcome applicants based on their skills and potential, and we’re dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know — we’re here to support you.

Senior Marketing Analyst – Business Partner Hybrid (3 days onsite) | Sheffield or London Up to £80,000 Forward Role are working with a global, mission-driven technology organisation who are investing in how it uses data to drive growth. The business is recruiting a Senior Analyst to partner with Senior Leadership in Marketing and the wider business, to ensure data is being used to make informed decisions and drive growth. It's a commercially focused, senior analytics position designed to remove guesswork from marketing strategy and directly influence performance across demand generation, acquisition, and revenue growth. You will operate as the dedicated data partner to Marketing, embedded within the function and working shoulder-to-shoulder with senior leaders. Your remit is to turn complex marketing data into clear direction - shaping attribution models, informing budget decisions, and backing recommendations with evidence. This role has been created as part of a broader shift towards a more prescriptive, high-impact business partnering model, where analytics plays a central role in commercial outcomes. You'll work across B2B and B2C models, including ecommerce and subscription-based propositions, in an organisation with a broad product ecosystem and ambitious international growth plans. Role & Responsibilities: • Act...

Working closely with analytics and senior stakeholders, you will help turn fragmented data into reliable, actionable insight.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 2+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Advantageous Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

About Complexio Complexio is the intelligence layer for enterprise AI. Our platform builds a connected understanding of how businesses actually operate - across people, processes, and systems. Enterprises have invested heavily in AI platforms, copilots, and data infrastructure - yet daily work still runs on manual hand-offs and thousands of unseen tasks buried in emails, chats, and spreadsheets. Complexio closes that automation gap. Our Event Knowledge Graph ingests structured and unstructured data to create a living map of how an organisation truly works - every task, interaction, and dependency. Our Context Broker unifies this knowledge across enterprise systems in real time, enabling our Orchestration layer and Enterprise Automator to discover, design, and execute workflows autonomously. Stevie, our conversational AI assistant, gives teams a natural way to query and act on that intelligence. Complexio deploys securely within your infrastructure and integrates with the enterprise platforms you already run on - turning organisational knowledge into measurable business outcomes. A joint venture between Hafnia and Símbolo, backed by leading maritime partners including Marfin Management, C Transport Maritime, Trans Sea Transport, and BW Epic Kosan. Born in maritime, now scaling rapidly across industries. We are now onboarding enterprise customers globally, with a platform built to handle the pace and complexity of real business operations. Role Purpose Enterprise organisations do not buy software - they fund outcomes. The Value Engineer exists to make the connection between Complexio's platform capabilities and the specific, quantified business outcomes each customer cares about, at every stage of the relationship. Value engineering as a discipline has become a defining commercial capability at the world's leading enterprise software companies. ServiceNow built a global Value Engineering practice to justify platform ROI at scale. Celonis pioneered value engineering in the process mining space, making quantified process improvement the centrepiece of every enterprise deal. SAP's Value Advisors and Salesforce's Business Value Consultants have made the ability to prove financial return a standard expectation in enterprise software procurement. Complexio is building this capability now - at the stage where it will have the most impact on commercial outcomes. This role sits at the intersection of business consulting, commercial strategy, and deep operational understanding. You are not a sales support function. You are an independent, credible business advisor who earns the trust of customer CFOs, COOs, and operational leadership by doing rigorous work - identifying where value is being lost, modelling what recovery is worth, and demonstrating with evidence what Complexio has actually delivered. Key Responsibilities Value Discovery & Business Case Development • Lead structured value discovery engagements with prospective customers - working with operational, financial, and technology stakeholders to identify and quantify the cost of their current automation gap, • Map customer operational workflows to Complexio's platform capabilities, identifying the specific processes, hand-offs, and inefficiencies where the EKG, Context Broker, Enterprise Automator, and Stevie create measurable impact, • Translate business case outputs into executive-ready materials - CFO-grade financial models, board-level summaries, and ROI one-pagers that withstand scrutiny from finance and procurement stakeholders, • Validate assumptions with customers through structured interviews, data analysis, and process observation - never building a business case on hypotheticals that will be challenged at approval Pre-Sales Value Engagement • Partner with Sales, Client Directors, and Solutions Consultants in enterprise sales cycles - joining customer engagements specifically to lead the value and business case workstream, • Run executive value workshops with customer C-suite and operational leadership - structured sessions that move from pain identification through to quantified opportunity in a single engagement, • Produce deal-specific value narratives and ROI models that are calibrated to each customer's operational context, financial metrics, and internal approval process, • Equip the sales team with reusable value frameworks, benchmark data, and industry-specific ROI models that accelerate deal cycles across similar customer profiles, • Support commercial proposal development by providing the financial and business value content that underpins pricing, contract structure, and deal terms Post-Sale Value Realisation • Own the value realisation framework for Complexio's customer base - defining how value is tracked, measured, and reported from deployment through to steady-state operation, • Establish baseline metrics with customers at the point of deployment - agreeing the operational and financial KPIs against which Complexio's impact will be measured Value Benchmarking & Market Intelligence • Build and maintain Complexio's value benchmark library - a structured, continuously updated repository of outcome data across customers, sectors, use cases, and platform capabilities, • Develop sector-specific value models for Complexio's primary markets - maritime operations, energy trading, industrial workflow management - grounded in real customer data and validated against industry benchmarks, • Track and analyse how value accrues over time across the customer base - identifying which deployment patterns, use cases, and adoption sequences drive the fastest and largest outcomes, • Monitor competitive value positioning - understanding how Complexio's ROI profile compares to alternatives including Microsoft Copilot, Celonis, and incumbent manual processes Internal Value Enablement • Build and maintain a value engineering toolkit accessible to the broader commercial team - including value discovery frameworks, ROI calculators, benchmark data packs, and executive presentation templates, • Partner with Product and Engineering to ensure that Complexio's platform instrumentation supports value measurement - advocating for the telemetry, reporting, and analytics capabilities that make value realisation visible to customers, • Feed value data and customer outcome evidence back into Complexio's product prioritisation process - ensuring the roadmap is guided by where the platform creates the most demonstrable impact Executive & C-Suite Engagement • Engage directly with CFOs, COOs, and operational leadership as a credible, independent business advisor - not as a vendor representative, • Lead or co-lead executive value presentations and business case reviews at board and C-suite level - with the financial and operational rigour to withstand challenge from sophisticated buyers, • Shadow Co-CEOs and the CRO in strategic customer engagements as required - providing the value and ROI narrative in high-stakes commercial discussions, • Build long-term advisory relationships with senior customer stakeholders that extend beyond individual deals and create durable commercial anchors What We're Looking For Essential • 6+ years in a value engineering, value advisory, business value consulting, or management consulting role - ideally with direct experience in enterprise software, process automation, or AI/data platform contexts, • Demonstrable experience building and presenting rigorous business cases and ROI models to C-suite and finance stakeholders - models that have withstood scrutiny and influenced major investment decisions, • Strong financial modelling capability - comfortable building NPV, IRR, and payback analyses from first principles and translating operational data into financial outcomes, • Deep understanding of how large enterprises make investment decisions - approval processes, financial hurdle rates, competing priorities, and the politics of internal sponsorship Desirable Experience in the maritime, shipping, energy, or industrial sectors - operational familiarity with voyage management, fleet operations, chartering, trading, or supply chain workflows Experience with process mining, workflow analytics, or operational intelligence tools - and the ability to use data outputs to construct value narratives Familiarity with AI automation economics - understanding how to model labour displacement, error reduction, and decision acceleration in organisations adopting AI-driven workflows Experience building value benchmark databases and sector-specific ROI frameworks from scratch Who You Are Rigorous and credible - your business cases are built on real data, sound assumptions, and transparent methodology; you do not overstate value and you do not produce numbers that collapse under scrutiny A skilled interviewer and listener - you can run a discovery session with a COO or a fleet manager and extract the operational detail you need to build a credible model, without making them feel interrogated Commercially motivated - you understand that your work directly enables revenue and you take that seriously; you are not an academic analyst, you are a commercial contributor Independently minded - you are willing to tell a customer or a sales team that a use case does not meet the value threshold, because your credibility depends on honesty, not optimism • A strong writer and presenter - you produce executive materials that are clear, well-structured, and visually compelling; you do not hide weak analysis behind impressive slides, • Intellectually curious about how industries operate - you find genuine interest in understanding how a maritime shipping company makes money, where it loses it, and what operational changes move the needle, • A builder - Complexio does not yet have a mature value engineering function; you are excited by the opportunity to create the frameworks, tools, and benchmarks that will define how the company communicates value at scale

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: Cloud Data Architect (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS., • This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs., • The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning., • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift., • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss., • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems., • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR., • Architect and implement scalable, secure, and highly available data platforms on AWS., • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable)., • Optimize performance of source and target systems pre- and post-migration., • Manage and govern S3-based data lakes and metadata using Glue Data Catalog., • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization., • Implement monitoring, rollback, and failure recovery mechanisms., • Ensure adherence to security, governance, and compliance standards. Skills: • 8+ years of experience in database migration and data engineering., • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud)., • Experience designing and implementing data validation and reconciliation frameworks., • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent)., • Deep proficiency in SQL and data modeling concepts., • Experience working with S3-based data lakes and Glue Data Catalog., • Strong understanding of CDC, transaction consistency, and migration cutover strategies., • Hands-on experience with performance tuning, schema design, and query optimization., • Proficiency in Python/PySpark and scripting (Shell/Python)., • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases., • Strong hands-on expertise with:, • AWS DMS (Database Migration Service)., • AWS SCT (Schema Conversion Tool)., • AWS Glue (ETL & data integration)., • Amazon Redshift (data warehousing). Nice to Have: • Exposure to real-time replication tools (e.g., GoldenGate or equivalent)., • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks., • Familiarity with Data Mesh and cross-account data sharing architectures., • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.)., • Knowledge of Infrastructure as Code (Terraform / CloudFormation)., • AWS Certifications (Solutions Architect / Data Engineer)., • Experience in mentoring teams and leading large-scale migration programs. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

The programme is completely beginner friendly, so no experience needed. Apply now for the next available cohort. Complete online training designed to take you from zero experience to your first data analyst role.

About the opportunity Are you ready to launch a career in Data Analytics and Business Intelligence? Netcom Training’s fully-funded Data course (NCFE Certificate in Data, Level 3) equips you with the technical skills employers are actively seeking. From data sourcing, cleansing, and analysis to visualization and reporting, you’ll gain hands-on experience that prepares you for today’s fast-growing data-driven roles. Our learners have successfully moved into roles such as Junior Data Analyst, Operations Analyst, Business Intelligence Assistant, and Database Administrator, working across tech, finance, healthcare, and the public sector. Course Details • Start Date: 20/04 & 27/04, • Duration: 6-11 weeks, • Schedule: Evening and daytime options available, • Format: Online, practical workshops What you’ll learn • Data Management: Understand how to source, gather, and store data securely., • Data Cleansing: Learn to collate and format raw data for accurate processing., • Analysis & Insight: Analyse datasets to support key business decisions and outcomes., • Visualization: Present and communicate insights clearly to stakeholders., • Tools & Tech: Gain exposure to professional tools commonly used in the industry (e.g., Excel concepts, Reporting tools)., • Compliance: Understand secure data handling and GDPR principles., • Collaboration: Practice continuous professional development in a team setting. Potential Roles: • Junior Data Analyst, • Reporting Assistant, • Data Administrator, • Business Analyst Eligibility This is a government-funded opportunity. To apply, you must: • Live in South Yorkshire., • Be aged 19 or over., • Earn below the gross annual wage cap of £23,400, • Not currently be undertaking other government-funded training., • Right to Work: You must have lived in the UK/EU for the last 3 years and have the right to work in the UK (Student/Graduate visas are not eligible). Cost This is a fully-funded course with no fees – complete the training, gain essential data skills

Salesforce Product Manager Akkodis are currently working in partnership with a leading service provider to recruit an experienced Salesforce Product Manager to lead and be accountable for the strategic direction, optimisation, and ongoing evolution of the Salesforce Service Cloud platform across our clients business. The Role As the Salesforce Product Manager you will ensure that Salesforce capabilities are aligned to business objectives, deliver measurable operational benefits, and enable scalable, customer-centric solutions through effective product ownership, stakeholder engagement, and technical leadership. You will be a hands-on Product Manager with a detailed, working understanding of Salesforce Service Cloud, the wider Salesforce ecosystem (including integrations and data), and emerging AI capabilities (such as automation, analytics, and AI-driven service features), enabling you to shape, challenge, and guide solution design and delivery effectively. Along with a highly competitive salary there is the flexibility of hybrid working and the opportunity to develop your skills with further training and certifications. The Responsibilities Own, actively manage and present quarterly the end-to-end product roadmap for Salesforce platforms, incorporating input from stakeholder teams and ensuring alignment with organisational strategy and customer experience objectives. Identify, assess, and prioritise product features, enhancements, and technical improvements that drive operational efficiency, improve customer satisfaction, support revenue growth, and enhance overall profitability. Work collaboratively with cross-functional teams (Operations, IT, Digital, Data, Compliance, and third-party suppliers) to ensure Salesforce product goals are fully aligned with business outcomes and regulatory requirements. Translate product strategy into clear product requirements, including epics, user stories, acceptance criteria, and success measures, ensuring delivery teams have a shared understanding of expected outcomes. Conduct market research, industry benchmarking, and competitive analysis to identify emerging trends, opportunities, and risks relevant to the Salesforce product landscape. Partner closely with development and delivery teams to ensure solutions are designed, built, tested, and delivered on time, within budget, and to agreed quality standards, managing dependencies and trade-offs where required. Develop, maintain, and govern product documentation, including user guides, release notes, training materials, and technical documentation, ensuring consistency and adoption across the organisation. Analyse product usage data, performance metrics, and customer feedback to identify improvement opportunities, validate roadmap priorities, and continuously optimise platform value. Lead and support go-to-market and change initiatives for new Salesforce features and enhancements, working with operational, sales, and communications teams to drive effective adoption and benefits realisation.The Requirements Demonstrable experience operating as a user-focused Product Manager / Product Owner for Salesforce, supported by relevant Salesforce certifications across core products. Deep, hands-on expertise in Salesforce Service Cloud, including case management, omni-channel service, automation, reporting, and customer experience optimisation. A strong working knowledge of the wider Salesforce ecosystem, including Sales Cloud, Marketing Cloud, and related platform capabilities, with an appreciation of how these can be integrated to deliver end-to-end customer journeys. Proven ability to collaborate with technical delivery teams and influence senior stakeholders to define, agree, and maintain a clear product vision and roadmap that delivers measurable strategic outcomes. Experience translating product strategy and roadmaps into prioritised backlogs, ensuring the highest-value features and improvements are delivered first, balancing business value, risk, and technical dependency. Demonstrated experience coaching and mentoring Salesforce Administrators, fostering capability growth, best practice, and continuous improvement. Experience managing and holding third-party suppliers and delivery partners to account, ensuring quality, value for money, and alignment to agreed outcomes. If you are looking for an exciting new challenge to join a growing organisation and play a key role in its continued success, please apply now. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply

Why Greencore? Following the combination with Bakkavor in January 2026, we're one of the UK's leading creators of convenience food, driven by a simple purpose: to make everyday taste better. As a vibrant and fast-moving business, we're proud to employ over 28,000 talented colleagues across 36 manufacturing sites and 21 distribution depots in the UK and the US. Together, we bring delicious food to life. Our products cover every meal occasion from breakfast through to dinner and dessert, with lunch and snacking in between. In FY25, our shared passion helped us achieve combined revenues of approximately £4bn. Our extensive direct to store (DTS) network, with 17 depots across the UK, allows us to deliver fresh and frozen food both our own and from trusted partners to thousands of stores every day, ensuring consumers enjoy the very best, whenever and wherever they shop. Role Purpose: To deliver optimal operational performance, personally provide decision support to key operations stakeholders and ensure that the internal control environment is implemented in line with group policy, and lead on Finance process, governance and standardisation for all operations Key Accountabilities: Provide leadership and direction to ensure that the local finance team is engaged, focused, developed and delivering to their full potential Take ownership of the internal control environment to ensure that identified risks are addressed, and ensure the integrity of the balance sheet through monthly detailed reviews and maintaining a detailed knowledge of balance sheet items including risks and opportunities Support key stakeholders to ensure optimal decisions are made with factual information. Take the lead on preparation of financials for business cases, capital investment proposals and other such activity. Own financial review to assess the delivery of initiatives Optimise financial performance with a particular focus on budget process and conversion reconciliation by providing support and challenge to stakeholders and budget holders. Lead the process for a robust budget and forecasting process including communication key stakeholders. Be a driver of continuous improvement e.g., through margin accretion, GME, GEE, GPE, site conversion or net revenue management Owner and gatekeeper of the site capital process, including planning and prioritising future spend, maintaining an accurate view of capital cash spend phasing, risk monitoring and management, monitoring and challenge of project timescales from inception to completion, quality control for all capital proposals being issued from the site and monitoring capital spend Contribute to the wider finance team to ensure continuous improvement in controls, efficiency and ways of working Lead key projects when called upon to enable data to be understood, insight gleaned and better solution delivered Play a key role in driving excellence across the business, including monitoring and driving of performance In conjunction with the data and analytics team, develop, continually improve, own and implement advanced analytics that lead to improved insights and recommended actions for the senior leadership team to use to drive improved business performance Actively sponsor and commit the necessary resource and focus required to deliver our inclusion and diversity commitments, goals and targets and be a role model for inclusive leadership behaviours Actively sponsor and commit the necessary resource and focus required to support delivery of our sustainability commitments, goals and targets Actively manage organisational risk related to both Cyber Security and data, by committing the necessary focus, resource and investing in the skills and experience required to ensure compliance to relevant policies and legislation, along with taking ownership for personal and commercial data processed throughout the groupKnowledge, Skills and Experience (ACA, ACCA, CIMA) post qualification experience or QBE Experience of operational or commercial decision support Excellent interpersonal skills, able to communicate to all levels of the business Ability to build, lead and develop a high performing teamProactive, organised and able to work flexibly in order to meet deadlines and have the drive to deliver results Able to partner, challenge and collaborate at a senior level and provide value add insight to a team of professionals What you'll get in return: Competitive salary and job-related benefits 25 days Holiday Competitive matched pension contributions Company share save scheme Greencore Qualifications Exclusive Greencore employee discount platform Access to a full Wellbeing Centre platformWe reserve the right to close this advertisement before the stated closing date

Job Title: AI Engineer - Python, LLMs Location: Sheffield (Hybrid) Type: Contract, Full-Time We are looking for a skilled and experienced Analytics Engineer to join a rapidly growing organisation. You will Partner with business stakeholders to design and deliver impactful dashboards, analytical products, and metric frameworks. You will build high‑quality analytics datasets, semantic layers, and reusable data models that power reporting and advanced insights. You will be responsible for : Develop and maintain CI/CD pipelines for analytics workflows, ensuring reliable, automated testing and deployment. Use Python or similar scripting languages to support analytics, automation, and data manipulation tasks. Leverage LLMs and AI‑assisted tools to accelerate insight generation, documentation, and development workflows.Key Skills and Experience you must have: Strong SQL and data modelling skills. Hands-on experience with enterprise analytics platforms such as Power BI and Tableau. Experience in implementing CI/CD pipelines for Analytics. Excellent experience with Python. Excellent experience working with large Enterprise Data Platforms. Experience using LLMs or AI-assisted tools to accelerate analytics and insight generation. You must be a team player with the ability to work in a collaborative environment. If the role is of interest please get across your CV

Head of HR Location: Rotherham, South Yorkshire Salary: £70,000 to £80,000 + progression opportunity Shillito Group are partnering with a global, market-leading manufacturing business to appoint a Head of HR - a pivotal leadership role with clear scope to evolve into a European Head of HR position within the next few years. This is a rare opportunity for a high-potential HR leader who has built strong foundations in their career and is now ready to step into a broader, more strategic remit within a PLC environment. We are looking for someone with energy, ambition and commercial instinct-an individual who wants to make a tangible impact, shape a modern HR function, and accelerate their career at pace. The Opportunity This role is designed for someone on an upward trajectory. You'll take full ownership of the UK HR function, working closely with senior leadership to drive performance, enable growth, and modernise how HR adds value to the business. You'll operate as both a strategic partner and hands-on leader, bringing structure, pace and innovation-while building the credibility and experience needed to step into a European leadership role. A key part of your remit will be leading the evolution of HR through data, systems and AI, positioning the function as forward-thinking, efficient and commercially aligned. What the Head of HR will be responsible for: Acting as a strategic partner to the UK leadership team, translating business objectives into a clear, commercially focused people agenda Driving organisational performance by aligning structure, capability and culture with growth, productivity and profitability goals Leading workforce planning and organisational design, ensuring the business is optimally structured to deliver against current and future demand Partnering with senior stakeholders to improve accountability, leadership capability and decision-making across the organisation Identifying and delivering cost efficiencies and productivity improvements through smarter people strategies, resource planning and process optimisation Leading and embedding data-driven HR, using analytics and insights to inform strategic decisions, track performance and challenge thinking Acting as a key advisor on business-critical change programmes, including restructures, transformation initiatives and cultural evolution Building and positioning HR as a value-adding commercial function, shifting perception from support service to strategic driver Championing digital transformation within HR, including the implementation of systems, automation and AI tools to enhance efficiency and insight Ensuring robust governance and risk management, balancing commercial pace with compliance and best practice Owning and evolving the performance management framework, driving a high-performance culture with clear expectations and measurable outcomes Supporting leadership in talent strategy and succession planning, ensuring capability pipelines for future growth, including international expansion Leading, coaching and developing your direct report while building scalable HR capability for future growth What the right Head of HR will look like: This role will suit an ambitious, career-driven HR professional who is ready for their next step up. You'll likely have: 5+ years' HR experience, with recent time spent in a senior HR role (e.g. HR Business Partner, Senior HR Manager, or similar) Experience operating in fast-paced, commercially driven environments (manufacturing or industrial experience advantageous) A strong grounding across core HR disciplines, including ER, performance, L&D, reward and workforce planning Proven experience supporting or leading change and transformation initiatives Strong knowledge of UK employment law and practical application in complex situations A commercial mindset - you understand how HR drives business performance A proactive, resilient approach with the confidence to challenge and influence A genuine interest in modern HR, data, systems and AIMost importantly, you'll have the drive and potential to grow into a broader international leadership role. Why Join Clear and realistic pathway to European Head of HR High visibility role with direct impact on business performance Opportunity to shape and modernise an HR function Work within a global PLC environment with strong growth trajectory Autonomy, ownership and the chance to build your leadership profile If you're ready to step into a bigger role, accelerate your HR career, and position yourself for international leadership, we'd love to hear from you. For more information, please contact Georgia at Shillito Group Shillito Group is a specialist recruitment and executive search partner, working with ambitious businesses to secure high-impact talent across commercial and engineering markets. Our reputation is built on deep expertise, trusted relationships and delivering results that go beyond the brief

Please note this is a training course and fees apply* Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts: * Junior Data Analyst - £30,000 * Data Analyst - £50,000 * Business Data Analyst - £67,500 * Data Analytics Analyst - £80,000 * Business Analysts - £60,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis. The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. Step 1 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. This qualification will set you on a route to becoming a data analyst. Step 2 - Data Administration Training Data is extracted using various method which are normally IT driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. * Microsoft excel - to expert level. * Learn SQL - the programming language used for extracting data from more complex databases. * Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. * Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. Step 4 - Recruitment Support Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check our testimonials from the hundreds of candidates we have already helped. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations

A Data Scientist with banking experience designs predictive models, analyzes financial data, and develops ML/NLP solutions for risk management, fraud detection, and customer analytics. Key responsibilities include building credit risk scorecards, automating data pipelines, and ensuring regulatory compliance, typically requiring 3–5+ years of experience with Python, SQL, and statistical modeling in financial institutions. Key Responsibilities • Predictive Modeling & Analytics: Develop behavioural segments, credit risk scorecards, and predictive models for customer onboarding, cross-selling, and churn retention., • Fraud & Risk Management: Utilize advanced analytics to identify anomalies and fraudulent activities in transaction data. Implement risk models (probability of default) and maintain regulatory compliance., • Data Handling: Extract, clean, and analyze structured and unstructured data from internal/external sources., • Technology & Tools: Write advanced SQL queries and Python/R scripts for data manipulation and build machine learning algorithms (e.g., Scikit-learn, TensorFlow)., • Stakeholder Communication: Translate complex analytical findings into actionable business insights for management. Required Experience & Skills • Domain Expertise: 3+ years of experience in banking or financial services, specifically in credit risk, fraud strategy, or compliance. Need candidates with 3–8 years’ experience in GenAI/Data Science, strong in Python, LLMs (RAG/fine-tuning), NLP, ML model deployment (MLOps), and cloud (AWS/Azure/GCP), with proven delivery in enterprise use cases

Head of AI and Innovation Recruiting for an organisation investing significantly in AI and innovation as a key driver of their future. In order to achieve their goals, they’re creating an innovation function with the autonomy and sponsorship to challenge the current products and services. As Head of AI & Innovation, you’ll be entrusted with building and leading this capability from the ground up. You’ll operate with senior-level backing to experiment and explore ideas outside of the existing product or technology roadmaps. This role is for someone who thrives in ambiguity, understands both technology and commercial impact and can turn bold thinking into tangible outcomes. Key Responsibilities Define how AI should be applied across the existing products and services, balancing long-term ambition with short-term experimentation and delivery Explore concepts, test assumptions and convert ideas into working prototypes and MVPs that can be validated with real users and stakeholders Investigate emerging technologies and approaches, from LLM driven capabilities to advanced analytics, ultimately resulting in new ways of differentiating the existing offerings Improve how the business operates through identifying opportunities where AI can remove friction, automate workflows and improve decision-making across internal teams Embed AI practices around data usage, model behaviour, transparency and compliance. Ensuring innovation is matched with trust Work closely with executive leadership to shape priorities, communicate progress and ensure AI initiatives remain aligned with business strategy Recruit, mentor and lead a small group of highly capable Principal Software Engineers, creating an environment that rewards curiosity, pace, and quality Key Skills Proven Innovator who has successfully introduced new technologies and approaches into an established technology organisation and understands how to navigate both opportunity and resistance Hands-on experience designing, building and deploying AI-powered solutions, including LLM based systems Have clear judgement and ability to communicate where AI adds value A solid background in cloud platforms such as AWS and Azure with experience delivering scalable, production grade solutions Commercially minded individual who is comfortable translating complex technical ideas into clear business outcomes for senior, non-technical stakeholders Experience leading technical teams and influencing across product, engineering and operations without relying on formal authority A track record of delivery, moving from ideation to real-world impact, including how new AI features will be utilised by customers Must possess experience working with innovative or disruptive technologies