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Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high-growth environment of 300.000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready? Join Our Data & AI Team Do you want to work on meaningful problems, shape the future of data and AI, and accelerate your career with a team that values innovation, excellence, and diversity of thought? We are always on the look out for a diverse range of talent—from data scientists and engineers to architects and subject matter experts—to help transform how organisations harness data and next-gen technologies. You'll be joining a high-growth consulting environment backed by the strength of a global leader with over 300,000 employees worldwide. Our dynamic, cross-functional teams work at the cutting edge of data strategy, engineering, analytics, and Generative AI to solve real-world business problems across industries. About the Team Our Data & Analytics practice sits at the heart of digital transformation. We advise and deliver across the data lifecycle—from advisory to implementation—helping clients build modern data ecosystems, unlock value from AI, and scale responsibly. We work across four key pillars: • Data Strategy & Governance, • Data Engineering & Architecture, • Analytics & Decision Intelligence We are looking for a dynamic and technically strong Palantir Forward Deployed Engineer (FDE) to lead the full lifecycle of data-driven solution development—from strategic planning and stakeholder engagement to hands-on implementation and scaling. As an FDE, you will work directly with clients and internal teams to understand complex business challenges, architect impactful solutions using Palantir Foundry, and drive adoption across organizations. This role blends engineering, product thinking, and strategic consulting, making it ideal for professionals who thrive at the intersection of technology and business. Key Responsibilities End-to-End Solution Ownership: Lead the full lifecycle of solution development: requirement gathering, planning, prototyping, development, deployment, and scaling. Stakeholder Engagement & Planning: Collaborate with business leaders, analysts, and technical teams to define problem statements, success metrics, and solution roadmaps. Data Integration & Modelling: Ingest and transform data from diverse sources (APIs, databases, flat files, streaming systems) into structured formats using Palantir Foundry tools and custom code. Ontology & Application Design: Create and manage Ontology Objects, Links, and Actions to support downstream applications and workflows. Pipeline Development & Automation: Build scalable, fault-tolerant ETL/ELT pipelines using PySpark, SQL, and Foundry's proprietary tools like Pipeline Builder and Code Workbook. Productization & Scaling: Create Prototypes and Convert them into production-grade solutions and drive adoption across teams and geographies. Governance & Compliance: Implement data validation, monitoring, and documentation to ensure integrity, traceability, and compliance with privacy and security standards. Cross-functional Collaboration: Work with deployment strategists, software engineers, and product designers to shape how data is used across decision-making workflows. Requirements Required Skills & Qualifications Strong programming skills in Python, SQL, and optionally Java/Scala Hands-on experience with Palantir Foundry tools, including: • Code Repositories, Pipeline Builder, Code Workbook, • Ontology Management, Contour, Solution Designer, Data Lineage Strong understanding of data architecture, including data lakes, warehousing, schema design, and performance optimization Excellent communication and stakeholder management skills Ability to work in fast-paced, ambiguous environments and learn new tools quickly Preferred Qualifications Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) Prior experience with Palantir Foundry or similar platforms Domain experience in Oil & Gas, Finance, Healthcare, Logistics, Aerospace or Defense Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field Why Join Us? Be part of a bold, growing team shaping the future of data and AI Work with some of the most exciting clients and use cases in the industry Learn, experiment, and grow in a culture that values impact, autonomy, and continuous development Access global career mobility and formal mentorship across domains Don't Meet Every Requirement? That's okay. We value attitude, capability, and potential. If you're passionate about data and AI, and you want to make a real impact— we want to hear from you. Benefits About Infosys Consulting Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey. Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page. Within Europe, we are recognized as one of the UK's top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany's top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row. We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We'd love to hear from you.... Apply today!

Skills Senior developer with the following skills and experience. Strong communication and collaboration skills key for working in DevOps culture with ability to guide team members, when needed. Growth mindset. Essential Skills Core AWS Services: Proficiency / understanding of key AWS services listed below:- S3- Athena- Glue- Lambda- DynamoDB- OpenSearch- CloudFormation- API Gateway- ECS- CloudWatch Programming and Core Services Fluency in Kotlin/Java, NodeJS, TypeScript • SQL Databases Experience with SQL, and NoSQL databases such as DynamoDB Security – strong understanding of security principles within the AWS environment, including RBAC and the principle of least privilege, storing credentials securely using Secrets Manager/KMS, and handling sensitive data such as email addresses and tokens securely. CI/CD – Building and managing continuous integration and delivery pipelines is a key skill. Experience with Git and GitHub Actions Workflow Management – Understanding of services like Amazon Step Functions to implement complex workflows - Desirable Containers – experience of working with Docker and ECS Good understanding of DevOps / DevSecOps concepts Other Skills Monitoring and debugging – familiarity with tools like Datadog Familiarity with Angular framework

Please note you must be able to pass security clearance for this role (NPPV 3) due to our clients requirements, to gain this level of clearance you must have been a resident living in the UK for the past 3 years About This Role You’ve built up solid experience working with Oracle technologies, and you’re ready for something that feels a bit more meaningful. Maybe it’s the chance to work more closely with clients. Maybe it’s the variety, the challenge, or just being part of a team where your knowledge actually matters. In this role, you’ll be part of the Managed Services team at Namos, supporting a mix of clients across different sectors, each with their own priorities and quirks. You’ll step in when issues need fixing, but you won’t stop there. Our aim is to improve how clients use their systems, not just keep things ticking along. That means getting involved with enhancements, solving problems, providing thought leadership and helping our clients get the most of their Oracle systems. You’ll be trusted to take ownership of your work, supported by a team that’s open, experienced and collaborative. Whether it’s helping a colleague think through a tricky integration or chatting with Oracle support, you’ll have the autonomy to run with it but never feel like you’re on your own. What stands out about this role is how closely you’ll get to work with customers. You’ll build relationships that last, understanding how their business works and helping them get real value from their Oracle investment. Some days will be about getting things back on track quickly. Others will give you the space to think deeper, spotting patterns, identifying risks, and making recommendations that improve how their systems support the people behind them. Skills and Requirements • Previous experience working in a technical capacity on Oracle Cloud, • Strong experience with Data Loader, inbound and outbound integrations, Extracts, OTBI, BI Publisher, and Oracle Integration Cloud (OIC), • Proficient in working with REST APIs and SQL, including the use of Oracle SQL tools, • Client facing skills and the ability to communicate with clients at all levels (both written and verbal), • Exceptional problem-solving and have strong analytical skills. Troubleshooting problems, including functional replication of issues, • Proven ability to work with pressure, related to resolution timeframes and conflicting/competing priorities that require multi-tasking, • Desire to learn about new features and technology, • Understanding of the ITIL framework relating to incidents, problems and the change management life cycle It would be advantageous if you had any of the following (if not we can work on these): • Functional knowledge ERP, HCM or Payroll, • Java/Groovy Scripts, • Oracle Apex, • Oracle Certifications to support your experience to date, • Previously worked in a Managed Services environment, • ITIL v4 Foundation certification

Programming and Core Services • Fluency in Kotlin/Java, NodeJS, TypeScript • SQL.

Shape the Future of Cybersecurity with Us Are you driven by deep curiosity, bold innovation, and the desire to transform cutting-edge AI research into real-world cybersecurity impact? Join Cynet, an established yet rapidly growing cybersecurity startup, where you’ll help build next-generation AI-powered security products from the ground up. You’ll be part of a small, elite, cross-disciplinary team working closely with security researchers, R&D engineers, data engineers, and product leaders. Here, you’re not just joining a company, you’re stepping into a place where you can envision, build, and deploy foundational AI technologies that protect organizations worldwide. You will have the rare opportunity to drive innovation end-to-end, shape our future technology, and create AI systems that make a real difference in defending against modern cyber threats. This is a role for someone who wants to put their soul into their craft, someone hungry to learn fast, experiment boldly, and turn ambitious ideas into production-ready AI solutions. What will you do: • Drive innovation by combining deep security research with modern AI techniques to build impactful, customer-facing security capabilities., • Build and refine intelligent generative AI agents that drive automated cybersecurity reasoning, investigation workflows, and threat analysis., • Extend and enhance our next-generation AI antivirus engine by designing new feature representations, building file parsers, and developing ML models end-to-end., • Engineer and implement core parser and model components in C++ and Python to seamlessly integrate into the Cynet Endpoint Agent and platform infrastructure., • Use Cynet’s ML experimentation pipelines to run experiments, optimize performance, and deliver production-ready detection models., • Serve as the cybersecurity expert within the Data Science team, guiding threat modeling, malware understanding, and security-driven AI design decisions. Requirements: • 5+ years of hands-on cybersecurity research experience., • Proven experience working with EDR, malware analysis, threat detection, and security tooling., • Proficiency in C, C++, and Python with strong debugging abilities., • Solid understanding of Windows internals, including low-level OS concepts., • Experience with static and dynamic analysis, reverse engineering, and real-world threat investigations., • A scientific, data-driven approach to problem-solving, from ideation through experimentation and production., • Strong understanding of statistical concepts and ML feature engineering techniques., • Experience analyzing large-scale datasets using SQL, Spark, or similar tools. Preferred / Nice to Have • Certifications or academic background in Data Science / Machine Learning / AI., • Experience with ML frameworks and experimentation environments., • Background in offensive research or deep endpoint security., • Experience with generative models, agentic reasoning, or building LLM-based AI systems., • Familiarity with cloud security, DevOps tooling, or MLOps practices. About Us: Cynet is a leader in threat detection and response, designed to simplify security for organizations of all sizes. Our mission is to empower lean security teams and their partners with an AI-powered, unified platform that autonomously detects, protects, and responds to threats - backed by 24×7 security experts. With a Partner First mindset, we focus on helping customers and partners stay protected, operate confidently, and achieve their goals. Our vision is to give every organization true cybersecurity peace of mind, providing fast, accurate protection without the noise or complexity.

JOB TITLE: Senior Data Scientist SALARY: £70,929 - £80,000 LOCATION(S): Manchester HOURS: Full time WORKING PATTERN: Hybrid, 40% (or two days) in the above office location About the opportunity We have a great opportunity for a Senior Data Scientist to support developing next-generation agentic AI models!This role also involves traditional machine learning solutions that power critical business decisions. This role combines modern research with implementation, ensuring scalable, explainable, and robust AI systems across the organisation! You will design and implement next‑generation agentic AI and traditional ML that power critical decisions across the organisation! The key activities in the role are: * Architect agentic systems: multi‑step reasoning, autonomous decision‑making, and safe action flows. * Operationalise LLM solutions: evaluation, fine‑tuning, and prompt strategies with measurable outcomes. * Engineer APIs and containerised microservices for scalable ML; embed CI/CD, model versioning, and monitoring. * Assure interpretability, fairness, and audit readiness; meet compliance standards within the field. * Experiment using human‑feedback loops and A/B testing to iterate quickly and improve performance. * Translate complex concepts into actionable insights that influence product roadmaps powered by advanced technology. About us If you think all banks are the same, you'd be wrong. We're an innovative, fast-changing business that's shaping finance as a force for good. A bank that's empowering its people to innovate, explore possibilities and grow with purpose. What you'll need * Advanced proficiency in Python and SQL; hands‑on use of pandas, NumPy, scikit‑learn, PyTorch. * Strong knowledge of supervised/unsupervised learning; experience in NLP, anomaly detection, classification. * Experience across the full software development lifecycle, from experimentation through to deployment of containerised Machine Learning models to a live environment, using technologies such as Docker and Kubernetes and coding in Python. * Exposure to some GCP cloud tooling (e.g. Vertex AI, BigQuery) and visualisation tools such as Looker, Tableau or PowerBI is highly desirable * Experience with API development, containerisation, and microservice patterns. * Familiarity with agentic architectures, multi‑step reasoning, and autonomous decision frameworks. * Ability to integrate LLMs and reinforcement learning into production workflows. * Expertise in interpretability and bias detection. * Delivery of audit‑ready solutions aligned to governance and compliance. * Practical experience with MLflow, Kubeflow, or similar MLOps frameworks; Git proficiency. * Skill in converting complex technical detail into clear business insight. Desirable skills: * Work with Vertex AI Agent Builder, LangGraph, multi‑agent orchestration, or agent‑to‑agent protocols. * Hands‑on LLM fine‑tuning, prompt engineering, and evaluation frameworks * Design and analysis of A/B tests and other experimentation methods. * Knowledge of data governance and model risk management in regulated environments. * Experience with RLHF or similar approaches for continuous model improvement. * Ability to spot opportunities for agentic AI innovation and shape product roadmaps. About working for us Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it's why we especially welcome applications from under-represented groups. We're disability confident. So, if you'd like reasonable adjustments to be made to our recruitment processes, just let us know. We also offer a wide-ranging benefits package, which includes: * A generous pension contribution of up to 15% * An annual bonus award, subject to Group performance * Share schemes including free shares * Benefits you can adapt to your lifestyle, such as discounted shopping * 30 days' holiday, with bank holidays on top * A range of wellbeing initiatives and generous parental leave policies Want to do amazing work, that's interesting and makes a difference to millions of people? Join our journey.

Job Reference # 331321BR Job Type Full Time Your role We’re looking for a Risk Manager to: • manage counterpart and liquidity exposures for the EMEA Clearing & FXPB business area, ensuring that clients are maintained within appetite, • manage any distressed client situations liaising directly with the Client, Credit Risk Control, Senior Management and other stakeholders to minimise the risk of loss to UBS, • monitor on an ongoing basis client exposures, significant market events and key industry developments, • assess new client portfolios and negotiate legal and margin terms, • review client profitability and understand key drivers of LRD and RWA, • monitor client trading limits and intraday activity / alerts, • develop new margin and risk models, • a minimum of 8-10 years’ experience working within financial markets in a risk management capacity, trading or in a role with considerable exposure to this business area, • broad product knowledge of derivatives. Able to understand, quantify and summarise key risks for forwards, swaps and option contracts, • fluency in main financial risk management models, such as CCP margin models, stress testing and Value at Risk, • experience with cleared products from a front to back perspective and strong industry and product knowledge, • highly organised, hands-on and proactive, capable of distilling vast amounts of qualitative information into a quantitative framework to support decision making, • strong IT skills and systems experience with some coding knowledge and regular use of Python, VBA, SQL or C++, • desirable experience / areas of interest: market design, game theory, financial markets regulation

The Role Are you passionate about clean energy solutions? Look no further! Sonnedix is looking for a dynamic Senior Portfolio Analyst, reporting directly to the Head of Strategic Finance. As a key member of the Strategic Finance team, the Senior Portfolio Analyst will be central to the group valuation process, tools, and IT infrastructure. This role is responsible for maintaining and enhancing the firm's valuation models and associated infrastructure. This is a Palantir-based end-to-end solution designed to automate NAV reporting and make our data seamlessly accessible for analysis, visualization, and ad hoc investigations. The Strategic Finance team provides critical valuation and forecast information to internal teams, senior leadership, and company shareholders. The Senior Portfolio Analyst will be tasked with improving our Excel and Python-based financial models, developing new data interfaces, and building new functionalities to meet evolving business requirements. The role involves long-term growth forecasting, scenario planning, and assessing the impact of various factors on company valuation, as well as supporting the consolidation and delivery of the quarterly NAV process. In addition, the Senior Portfolio Analyst will assist the Head of Strategic Finance and the Financial Analysis Manager in preparing materials for stakeholders, including quarterly valuation reports and Board papers, and will support on both standard quarterly and ad-hoc reporting to our company shareholders. Desirable Skills • Advanced Excel Skills with proficiency in VBA, • Highly proficient in financial modelling, scenario analysis and valuation, specifically within the context of portfolio performance reporting and analysis, • Familiarity with Python, SQL, SAP and software engineering best practices to collaborate effectively with internal IT team, • In depth knowledge of the infrastructure sector, knowledge of Renewable Energy sector is a plus What we offer: • One company, many careers - as the company grows, we offer the opportunity for you to develop your career with us, • An inclusive, international working culture with a diverse team of friendly professionals from across the world, • A commitment to flexibility – hybrid working, generous annual leave allocation with an additional four weeks of discretionary unpaid leave, • A family first company - generous paid parental leave and support for carers, • The ability to ‘work from elsewhere’, for up to six weeks in a year, • Summer working hours, • Financial, Social, Mental & Physical wellbeing support, • The Sonnedix Academy – a range of training and development opportunities including professional development, management and leadership programs, technical training, essential skills, DEI, mentorship and much more, • Fantastic office environments

Company Overview EC Markets is an established leader in global financial trading and brokerage, providing innovative FX and CFD services to a diverse client base. With a strong focus on execution quality, risk management, and regulatory compliance, EC Markets operates a high-availability trading environment supported by institutional-grade liquidity and technology. Role Purpose The Dealing Desk Operations Analyst will support the Head of Dealing and trading operations by ensuring robust execution quality, operational resilience, and effective management of trade lifecycle processes. This role sits at the intersection of dealing, technology, and liquidity management, requiring hands-on involvement with OneZero, Trader Evolution, and real-time trade monitoring in an FCA-regulated environment. Key Responsibilities • Assist the dealing desk with real-time trade monitoring, execution quality checks, and incident response., • Monitor OneZero Hub/bridge connectivity with liquidity providers (LPs), pricing feeds, and execution venues; escalate and resolve issues promptly., • Support the full trade lifecycle, including order routing, fills, allocations, cancellations, and amendments., • Perform pre- and post-trade checks, including price validation, slippage analysis, rejection analysis, and best execution monitoring., • Coordinate with liquidity providers and internal technology teams on execution quality, connectivity, and operational issues., • Assist with reconciliations with LPs and monitor LP exposure, margins, funding, and balances., • Support configuration and maintenance of symbols, markups, spreads, risk rules, and routing profiles within OneZero and Trader Evolution., • Contribute to incident management, root-cause analysis, and documentation of operational and dealing procedures., • Ensure adherence to internal controls, risk limits, and FCA regulatory requirements at all times. Required Skills & Experience • 2–5 years’ experience in dealing desk support, trade operations, or brokerage operations, preferably within an FCA-regulated firm., • Demonstrated hands-on experience with OneZero Hub/bridge, including routing, LP management, monitoring, and basic configuration., • Strong understanding of FX and CFD markets, order types, execution models (STP, B-book, hybrid), and liquidity dynamics., • Working knowledge of FIX concepts and trade flow, including message lifecycle, rejects, and timeouts., • Experience with trade reconciliation, reporting, and operational control frameworks., • Proven ability to work under pressure in a real-time trading environment. Technical & Analytical Skills • Proficiency with trading platforms such as MT4/MT5 and proprietary platforms, as well as OMS/EMS tools., • Experience conducting client analysis, including risk assessment, trading behaviour, EA usage, and identification of abusive or toxic flow., • Solid understanding of execution metrics, including latency, slippage, fill ratios, and rejection rates., • Advanced Excel or Google Sheets skills; experience with SQL or basic scripting is an advantage., • Strong analytical, troubleshooting, and problem-solving capabilities. Soft Skills • Clear and effective communication with traders, technology teams, Compliance, Risk, and external counterparties., • High attention to detail and strong organisational skills., • Proactive, dependable, and collaborative team player with a strong sense of ownership. Education & Certifications (Preferred) • Bachelor’s degree in Finance, Economics, Computer Science, or a related field., • Relevant industry or market-related certifications are an advantage. Work Environment • Shift-based support may be required to cover global trading hours., • Fast-paced, high-availability trading environment with real-time operational demands. Success Metrics • Successfully act as backup to the Head of Dealing, managing exposure and P&L within predefined limits and keeping breaches to an absolute minimum., • Become the primary internal resource for setup, configuration, and ongoing maintenance of OneZero and Trader Evolution., • Design, implement, and maintain reports for client analysis, book performance, and hedge effectiveness.

What do we do? Paddle offers digital product companies a completely different approach to their payment infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, we’re a Merchant of Record for our customers. That means we take away 100% of the pain of payment fragmentation. It’s faster, safer, cheaper, and, above all, way better. We’re backed by investors including KKR, FTV Capital, Kindred, Notion, and 83North and serve over 5000 software sellers in 245 territories globally. The role: We’re hiring a Lead Product Scientist to help build our Product Analytics capabilities at Paddle. This role sits at the intersection of Product and Data — quantifying the impact of our product features through historical studies, setting up our experimentation culture, and enabling a cadence of reviewing feature performance. You’ll partner with Product and Engineering teams to define how we measure success, build our experimentation playbook, and turn complex data into simple, actionable insights. You’ll combine analytical rigour with product intuition — designing experiments, uncovering behavioural drivers, and guiding our teams to build products that deliver measurable impact for our sellers. This is a hands-on leadership role, where you’ll both drive analysis and experimentation and manage one Product Scientist, helping to establish the foundations of product science at Paddle. What you'll do: • Partner with Product Managers, Designers, and Engineers to define success metrics and ensure every feature can be measured effectively., • Design and standardise our experimentation process — developing the A/B testing playbook, templates, and guidance that enable consistent, trustworthy experiments across Paddle., • Lead the analysis of A/B tests and quasi-experiments to quantify product impact and identify opportunities for improvement., • Explore user behaviour data to surface insights that inform prioritisation, conversion, and retention strategies., • Build analytical frameworks, dashboards, and models that support product strategy and decision-making., • Work closely with Analytics Engineering to ensure reliable, well-documented datasets and metrics., • Coach and support your direct report, providing guidance on analytical methods, communication, and stakeholder management., • Share insights clearly and persuasively — turning data into stories that influence product direction., • Contribute to a culture of experimentation, helping teams frame hypotheses, interpret results, and learn faster. We'd love to hear from you if you are: • Experienced in product analytics and experimentation, ideally within a fintech or payments environment., • Skilled in statistical methods, causal inference, and experiment design., • Fluent in SQL and Python for data exploration, modelling, and analysis., • Comfortable partnering with cross-functional teams, influencing decisions through evidence and clarity., • Passionate about building scalable experimentation frameworks and enabling others to self-serve., • Curious and commercially minded — you connect analytical results to customer value and business outcomes., • Excited to operate end-to-end: from defining the question, to running the analysis, to influencing the outcome., • Motivated by mentoring others and helping to grow a small but high-impact Product Science function. Everyone is welcome at Paddle At Paddle, we’re committed to removing invisible barriers, both for our customers and within our own teams. We recognise and celebrate that every Paddler is unique and we welcome every individual perspective. As an inclusive employer, we don’t care if, or where, you studied, what you look like or where you’re from. We’re more interested in your craft, curiosity, passion for learning and what you’ll add to our culture. We encourage you to apply even if you don’t match every part of the job ad, especially if you’re part of an underrepresented group. Please let us know if there’s anything we can do to better support you through the application process and in the workplace. We will do everything we can to support any accommodations needed. We’re committed to building a diverse team where everyone feels safe to be their authentic self. Let’s grow together. Why you’ll love working at Paddle We are a diverse, growing group of Paddlers across the globe who pride ourselves on our transparent, collaborative and respectful culture. We live and breathe our values, which are: Paddle For Others Paddle together Paddle simply We offer a full suite of benefits, including attractive salaries, stock options, retirement plans, private healthcare and well-being initiatives. We are a ‘digital-first’ company, which means you can work remotely, from one of our stylish hubs, or even a bit of both! We offer all team members unlimited holidays and enhanced parental leave. We invest in learning and will help you with your personal development via constant exposure to new challenges, an annual learning fund, and regular internal and external training.

Tittle: Data Scientist/Data Engineer Rate: £450-£550 Outside IR35 Contract duration: 3 months (Initially) Start date: January start date! I'm working with a cutting-edge tech business building a next-generation data platform, and they're looking for a Data Scientist / Data Engineer to join at a critical early stage. This is a hands-on role working closely with the CTO, owning the design and delivery of end-to-end data pipelines and advanced AI-driven capabilities. You'll be responsible for ingesting and transforming unstructured data, building scalable pipelines, and embedding machine learning, NLP, and semantic search into a modular, cloud-native architecture. Key skills required: • Strong Python for data processing, pipelines, and ML integration, • Experience building end-to-end data pipelines (ETL/ELT, orchestration), • Solid knowledge of SQL & NoSQL databases (data lakes, metadata, graph models), • Cloud experience (AWS, GCP, Azure), • Experience with distributed data processing (Spark / Flink), • Foundations in machine learning / NLP (embeddings, summarisation, vector search), • Containerised environments using Docker & Kubernetes Our client has a 1 stage interview process and will interview this week for the right candidate! If you're interested in this role, or know someone who would be, then please contact a. methula@io associates.co. uk with your updated CV.

Process Modelling Engineer Series B MedTech (£20M+ Raised) 📍 Cambridge or Oxford (Hybrid) About the Opportunity We’re partnering with a fast-growing Series B MedTech developing next-generation bioprocessing technology that is reshaping how advanced therapies are designed, scaled, and manufactured. With over £20M raised from top-tier investors, the company is now expanding its core R&D and digital engineering team. As a Process Modelling Engineer, you’ll build the mechanistic and hybrid models that power their platform. Accelerating development, improving process robustness, and enabling data-driven decision making across the full bioprocess lifecycle. About the Company This Series B MedTech is unifying bioprocess engineering, computational modelling, and automation to tackle one of the biggest bottlenecks in biotech: how to scale complex biological systems reliably and efficiently. Their platform integrates mechanistic simulations, ML-driven predictions, and automated workflows, giving bioprocess teams the tools to accelerate development, reduce variability, and shorten time to clinic. With teams in Cambridge and Oxford, they’re building at the intersection of engineering, biology, and software and looking for exceptional people who want to shape the next wave of bioprocess innovation. What You’ll Do Modelling & Simulation • Build mechanistic and hybrid models across upstream and downstream bioprocesses., • Develop system-level flowsheet and unit operation models., • Run sensitivity, identifiability, and optimisability studies to guide experimental design and scale-up. Digital Workflow Development • Create modular, intuitive modelling workflows used across the company’s platform., • Work closely with software engineers to convert models into scalable, web-based tools., • Build user-facing applications that make complex models accessible to non-experts. Automation & Data Integration • Automate model execution, validation, and reporting pipelines., • Use AI and modern engineering practices to streamline and standardise codebases., • Connect models to diverse datasets — structured (SQL, Databricks, Snowflake) and unstructured (e.g., Excel, lab exports). What You’ll Bring Education • STEM MSc or PhD Technical Skills • Strong background in transport phenomena, systems modelling, and process engineering., • Solid experience with Python and scientific/optimisation tools (NumPy, SciPy, pandas, CasADi, Pyomo). Preferred Experience • Experience in biotech, pharma, CDMO, or advanced therapy development., • Exposure to process development, modelling-driven scale-up, or digitalisation initiatives. Bonus Skills • CFD knowledge (e.g., OpenFOAM)., • Familiarity with machine learning and data engineering workflows., • Publications in modelling, simulation, systems engineering, or digital twins. Soft Skills • Analytical, curious, and detail-driven., • Strong communicator who can explain complex ideas clearly., • Collaborative mindset with a pragmatic, problem-solving approach. If this sounds like you, you'll fit right in. To Note: We regularly share career opportunities, company news, and insights on our LinkedIn page — feel free to follow us and stay in the loop.

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Senior Data/Analytics Engineer Type: Hourly contractor Compensation: $35–$70/hour Location: Remote Commitment: 20–40 hours/week Role Responsibilities • Design, build, and maintain DBT models, macros, and tests following modular data modeling and semantic best practices., • Integrate DBT workflows with Snowflake Cortex CLI to enable feature engineering pipelines, model training and inference tasks, automated pipeline orchestration, and monitoring and evaluation of Cortex-driven ML models., • Establish best practices for DBT–Cortex architecture and usage patterns., • Collaborate with data scientists and ML engineers to produce Cortex workloads in Snowflake., • Build and optimize CI/CD pipelines for DBT using GitHub Actions, GitLab, and Azure DevOps., • 3+ years experience with DBT Core or DBT Cloud, including macros, packages, testing, and deployments., • Strong expertise with Snowflake (warehouses, tasks, streams, materialized views, performance tuning)., • Hands-on experience with Snowflake Cortex CLI, or strong ability to learn it quickly., • Strong SQL skills; working familiarity with Python for scripting and DBT automation., • Experience integrating DBT with orchestration tools (Airflow, Dagster, Prefect, etc.)., • Prior experience operationalizing ML workflows inside Snowflake., • Familiarity with Snow-park, Python UDFs/UDTFs., • Experience building semantic layers using DBT metrics., • Knowledge of MLOps / DataOps best practices., • Upload resume, • AI interview based on your resume

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Software Engineer Type: Hourly contractor Compensation: $50–$100/hour Location: Remote Duration: 1–2 months Commitment: 10–20 hours/week Role Responsibilities • Develop scalable APIs and service layers interfacing with advanced AI models., • Configure environments and design databases to support machine learning applications., • Lead the creation and testing of complex database schemas., • Collaborate asynchronously and work independently with flexible hours., • 1+ years of elite software engineering experience., • Computer Science degree from a prestigious university in the U.S., Canada, or the UK., • Proficiency in SQL and database structuring., • Expert-level skills in API development., • Strong attention to detail and problem-solving skills., • Hourly contractor, • Upload resume, • AI interview based on your resume

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Senior Data/Analytics Engineer Type: Hourly contractor Compensation: $35–$70/hour Location: Remote Commitment: 20–40 hours/week Role Responsibilities • Design, build, and maintain DBT models, macros, and tests following modular data modeling and semantic best practices., • Integrate DBT workflows with Snowflake Cortex CLI to enable feature engineering pipelines, model training and inference tasks, automated pipeline orchestration, and monitoring and evaluation of Cortex-driven ML models., • Establish best practices for DBT–Cortex architecture and usage patterns., • Collaborate with data scientists and ML engineers to produce Cortex workloads in Snowflake., • Build and optimize CI/CD pipelines for DBT using GitHub Actions, GitLab, and Azure DevOps., • 3+ years experience with DBT Core or DBT Cloud, including macros, packages, testing, and deployments., • Strong expertise with Snowflake (warehouses, tasks, streams, materialized views, performance tuning)., • Hands-on experience with Snowflake Cortex CLI, or strong ability to learn it quickly., • Strong SQL skills; working familiarity with Python for scripting and DBT automation., • Experience integrating DBT with orchestration tools (Airflow, Dagster, Prefect, etc.)., • Prior experience operationalizing ML workflows inside Snowflake., • Familiarity with Snow-park, Python UDFs/UDTFs., • Experience building semantic layers using DBT metrics., • Knowledge of MLOps / DataOps best practices., • Upload resume, • AI interview based on your resume

Are you an experienced Data Developer who enjoys greenfield development and likes technical ownership? As a senior Data Engineer, have you enjoyed working in rapid scale-up environments where you've had direct access to senior leadership, significant influence on technical strategy alongside fostering a culture of best practice and technical innovation within your teams? Our client, profitable, well-funded and growing at 30% YoY, is looking for a Lead Data Developer to run their Data Engineering team. Having found product / market fit, this hire is now a key inflection point as they embark on a major re-engineering effort to position themselves for scale and to support the large backlog of clients ready to onboard to their platform. As an established Senior / Lead Data Engineer, you'll have experience of the following: • At least 10+ years commercial software engineering experience, with a strong focus on data-engineering at scale, • Strong experience building robust & scalable data pipelines using Python and PySpark, • A deep knowledge of Schema Design, SQL and database optimizations, • Experience of being a bar-raiser and helping improve engineering best practices, • Experience of orchestration tools like Databricks or Airflow, • Experience with cloud data warehouses like Snowflake or BigQuery, • Coaching, mentoring and growing an established mid-level team who are eager to learn from you, • Working in a start-up / scale-up environment where you enjoyed having a broad impact, close proximity to leadership and seeing first-hand the impact of your efforts, • Seeing the value being on-site 3 days a week has in building culture, fostering innovation, and supporting effective communication. Nice to have • Experience with Kafka or other streaming platforms, • Experience with data quality frameworks like Great Expectations, • Experience with Delta Lake or modern data lake architectures If you're an experienced Senior / Lead Data Engineer who is excited by greenfield development within a rapid-scale and growing a team around you, we'd love to hear from you. Strong data engineers are promised a response within 24 hours of application. The Difference Engine is a recruitment company working on behalf of its client.

We’re ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions. But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list. Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you. Job Description The Senior Data Scientist in Strategic Projects at ASOS Supply Chain drives business value by applying advanced analytics, predictive modelling, and or operations research to optimise supply chain processes—including inbound routing, inventory management, warehousing, and last-mile delivery & returns. The role requires clear communication of insights to diverse stakeholders, collaboration across teams, and a strong academic or applied background. We are looking for someone who is adaptable, entrepreneurial, and committed to continuous improvement, integrity, and inclusivity. You'll also have the chance to mentor others and deliver actionable insights for strategic decisions. The Details • Analyse supply chain data to identify inefficiencies and opportunities for improvement in inbound operations, warehouse operations, and delivery & returns., • Develop and deploy predictive and optimisation models delivering measurable business outcomes (cost savings, efficiency gains, mean shift improvements), • Collaborate with supply chain, technical, and senior management teams to present findings and drive adoption of solutions, • Evangelise data quality and governance standards, identifying and resolving data quality gaps, • Mentor data analysts within Supply Chain and contribute to the broader data science community within ASOS Qualifications About You • Advanced analytics, predictive modelling, and or operations research expertise, • Strong Python and SQL proficiency; adaptable to new tools and domains, • Proven ability to optimise real-world processes and deliver measurable business value insights., • Strong academic background or equivalent applied experience, • Strategic mindset with strong problem-solving skills., • Adaptable and comfortable working on high-impact, ambiguous projects within a fast-paced environment., • Entrepreneurial and excited by the domain expanse, i.e. end-to-end supply chain, • Ability to translate complex technical concepts into clear business language that can be tailored dependent on the audience, • Excellent communication and stakeholder management abilities including effective storytelling with data, • Commitment to data quality, governance, and integrity with a bias for the right action. BeneFITS’ • Employee discount (hello ASOS discount!), • Employee sample sales, • 25 days paid annual leave + an extra celebration day for a special moment, • Discretionary bonus scheme, • Private medical care scheme, • Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits

Fundment is a fast-growing wealth infrastructure company, building on our cutting-edge digital investment system to transform the £3 trillion UK wealth management market. We are passionate about revolutionising the investment experience for financial advisers and their clients by combining our innovative proprietary technology with exceptional customer service. As we scale, we are growing our multi-disciplinary Data, Analytics&AI function to unlock the full potential of our data assets. About the Role This is a high-impact hands-on leadership role with the opportunity to design and build Fundment’s data and analytics infrastructure from the ground up. Reporting to our Head of Data&Analytics, you will create the data foundations that allow us to deliver data-driven insights, automated systems and AI-powered products to drive business growth and enhance operational efficiency. Key Responsibilities Data Platform Architecture & Strategy: • Lead the implementation of a robust, scalable, and secure data platform architecture on Google Cloud Platform (GCP)., • Define and enforce technical standards, design patterns, and best practices for data ingestion, processing, storage, and consumption., • Ensure our data infrastructure follows best practices across data governance, cataloguing, quality and lineage., • Ensure the data platform adheres to all regulatory requirements (e.g., FCA, GDPR) and implement appropriate access control mechanisms. Data Ingestion and Processing: • Design and deliver complex data pipelines for both batch and real-time streaming data processing from both internal and external data sources., • Build and optimise our query and transform capabilities across both structured and unstructured data., • Define and implement a unified data and metrics framework to ensure consistent definitions and understanding of KPIs across the organization. Data/ML Operations: • Establish and lead the design of CI/CD processes and tooling for data pipelines, enabling scalable, automated, and high-quality delivery across environments., • Implement data observability and data quality monitoring to ensure our data is continually able to support our operations and drive business growth., • Design and build end-to-end MLOps pipelines for continuous improvement in model performance., • Ensure that all data components are provisioned and controlled through Infrastructure As Code (IaC)., • Monitor, analyze, and optimise the cost efficiency of our GCP data plant. Team Leadership & Mentorship: • Build our data engineering capability and recruit other data engineers of the highest calibre., • Provide technical guidance, mentorship, and code reviews to our multi-disciplinary team of analysts, data scientists and engineers., • Translate requirements into technical specifications and project plans, overseeing execution from conception to production., • Collaborate with cross-functional teams across the company to help both technical and non-technical users leverage our data, analytics and AI capabilities in an optimal and secure way. Required Skills/Experience • Experience: Proven experience (7+ years) in data engineering., • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field., • Technical skills:, • Advanced proficiency in SQL and Python for data manipulation and analysis, • Experience in Google data infrastructure, including DataPlex, DataCatalog and BigQuery, • Experience in Google data processing, including DataStream, DataFlow, Cloud Composer, • Experience building and maintaining data transformation layers using dbt., • Strong experience with data visualization tools, (e.g. Looker), • Experience with data observability and monitoring, • Experience with containerization technologies including CloudRun and Docker., • Experienced with Infrastructure as Code (e.g. Terraform), • Experience with MLOps Pipelines, • Communication: Excellent written and verbal communication, presentation and interpersonal skills Preferred Skills/Experience • Experience in a startup or high-growth environment., • Knowledge of data privacy and AI regulation, preferably within financial services., • Familiarity with real-time data processing and streaming analytics., • Experience in GCP Vertex AI platform, including Vertex AI Pipelines, Model Registry, and Vertex AI Endpoints., • Experience building the infrastructure that facilitates deployment and production tuning of ML models and AI systems (including LLMs)., • GCP Professional Data Engineer or Professional Machine Learning Engineer certifications. Why join us? Become part of our flexible, dynamic and supportive work environment, where our innovative team values your ideas and collaboration drives our success together. Make an impact from day one and challenge yourself to continually improve, raise standards and see how your work can contribute to future goals. We are happy to consider any reasonable adjustments that applicants may need during the recruitment process.

I'm currently working with a consulting client looking for a contract Fullstack Data reporting engineer and Python software developer. Fullstack Data reporting engineer (Python/.Net) - Contract: Required Skillset: 5+ years Software engineering experience C# Full Stack .NET development SQL Server & SQL Server Reporting Services Python for data engineering and Power BI Strong SQL knowledge Git / GitHub React/Javascript Experience within NHS or Healthcare sector is a must have Python software developer - Contract: Required Skillset: 5+ years Software engineering experience with Python as the primary backend language, with support for Java and .NET Oracle SQL PL for maintaining existing services Experience with AWS, Azure, SQL Server, Postgres, GitHub, Azure DevOps, Linux, Docker and Kubernetes Understanding of continuous deployment with automated testing and monitoring Test-Driven Development (TDD), writing tests before code Experience within NHS or Healthcare sector is a must have Location: Remote Contract Type: 6 months (Possibility for extension) Start Date: Immediately Daily rate - £400 (inside IR35)

Junior Full Stack Software Developer (.NET/JavaScript) | Wymondham/Hybrid Are you a skilled .NET developer eager to work on cutting-edge software solutions? Do you thrive in an agile, fast-moving environment where your contributions directly shape the product? If so, this opportunity is for you! Role Responsibilities As a Software Developer, you’ll be part of a dynamic team building and enhancing innovative applications. You’ll contribute to modernising legacy systems, scaling core products, and improving overall software quality. Your role will involve: • Developing and maintaining backend services using C#, .NET Framework 4.7+, and .NET 6+, • Working with Microsoft SQL Server to optimise data handling, • Building and maintaining APIs using Web API and MVC, • Leveraging Azure DevOps for version control and deployment, • Participating in Agile development cycles, ensuring efficient and high-quality deliveries, • Collaborating with cross-functional teams to improve performance and scalability Role Requirements • 1-2+ years of software development experience with C# and .NET, • Strong command of Microsoft SQL Server, • A degree in Computer Science, Software Engineering, or a related field (or equivalent experience), • A keen eye for detail and a commitment to delivering high-quality code, • Excellent communication skills, with the ability to explain technical concepts clearly, • A proactive, self-motivated approach to problem-solving and learning new technologies, • Nice to have: Familiarity with JavaScript, jQuery, AngularJS or general experience debugging front-end code Salary and Benefits • Competitive starting salary, • Wymondham office with flexible working (1 day a week in the office), • 25 days holiday + Bank Holidays, • Personal development, learning, and career progression opportunities, • Annual salary review

Robert Half Technology with a global leader in the data-centre lifecycle and operations space to recruit a Sage Intacct Consultant on a contract basis. Seeking a skilled Sage Intacct Consultant to assist with the implementation, configuration, and data migration of the Sage platform as part of an ongoing systems transformation project. This role will bridge the gap between IT operations and business users, ensuring a smooth transition to the new environment. Role • The Sage Intacct Consultant will support the implementation and rollout of Sage across the business, working closely with internal stakeholders and external vendors., • Assist in data migration activities — cleansing, mapping, validation, and import from legacy systems into Sage., • Provide technical and user support, troubleshooting issues during implementation and post-go-live., • Work with IT and Finance teams to ensure system integrations, user permissions, and reporting are correctly configured., • The Sage Consultant will document processes, configurations, and user guides to support business continuity., • Monitor system performance and ensure data integrity and accuracy., • Liaise with vendors or consultants to resolve technical issues and optimise system functionality. Profile • The Sage Intacct Consultant will have proven experience supporting Sage (200 / Intacct / X3 / other variant) or similar systems., • Strong IT Administration background – understanding of networks, permissions, system setups, and troubleshooting., • Experience in data migration (Excel, CSV imports, SQL, or ETL tools)., • Ability to work with stakeholders across IT, Finance, and Operations., • Strong analytical and problem-solving skills., • Excellent communication and documentation abilities. Company • Global real estate organisation, • Global organisation with offices in London Salary & Benefits The salary range/rates of pay is dependent upon your experience, qualifications or training.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. The D360 aka Data Cloud specialist team is an innovative group of sellers and GTM specialists at the heart of Salesforce’s newest innovation - D360. We are a startup within an extensive organization focused on next-generation of technology at Salesforce. This dedicated team helps Salesforce customers and prospects develop and implement strategies to take their Customer Experience efforts to a new level with Data + AI + CRM + Trust. This team is at the center of our GTM strategy connecting the dots between the D360 Product team, Product Marketing, Enablement, Customer Success & Support, and Partners Ecosystem to drive growth for D360. It is a dynamic, constantly evolving environment where expertise in design, and technology is demonstrated every day to drive innovation. Role Description The D360 Technical Architect plays a pivotal role in developing innovative solutions for our customers across a variety of industries. You will work closely with Account Executives, Solutions Engineering, Product, and Product Marketing teams to provide deep technical domain expertise during the pre and post-sale process. Our D360 customers are only as successful as the value they derive from the platform. You will play a key role in ensuring D360 is the right fit, help them prioritize the most valuable D360 use cases, and provide technical architecture best practices to drive product adoption. You will collaborate with the broader global D360 team to develop use cases, demos, sales plays, and technical thought leadership. You will also have a meaningful role in driving our Product Roadmap forward and serve as a key advisor to the Product organization sharing innovative ideas and feedback from customers It is important to have a solid technical grasp of the CRM, Modern Data Stack, Analytics & BI, CRM and AI (Generative and Predictive) landscape and the ability to effectively communicate our offerings to potential clients. Key Responsibilities • Solve Business Problems - Analyze complex business problems by conducting research and assessments to define the problem, generate innovative ideas, see opportunities, and recommend actionable solutions., • Drive Innovation & Customer Adoption - Bring structure to the client's decision-making process by communicating and evaluating solution options, and facilitating agreement among key stakeholders that helps customer’s prioritize high-value solutions, driving business impact., • Connect the “Art of the Possible” - Assist Solutions Engineers with delivering software demonstrations, rapid prototyping, and storytelling to show how connected experiences come to life with the Salesforce D360 & Salesforce CRM., • Cross Platform Collaboration - You will use your understanding of customers’ use cases across industries and multiple technology landscapes (CRM, Modern Data Stack, Analytics & BI, CRM and AI) to develop solutions across the Salesforce's technology stack., • Experience in solutions engineering/solutions architecture/technical consulting, ideally in the B2B SaaS space, particularly cloud data platforms, • Strong verbal and presentation abilities, capable of effectively communicating ideas to clients and prospective clients at all levels of an organization, • Understanding & ability to articulate the relationship between Data and Customer Relationship Management, aka the Customer360, • Demonstrable ability to shift clients to alternative solutions when initial solutions are not a fit, with examples to support this. Demonstrable experience leading strategy and digital roadmap projects in a complex business environment, • Experience with Data Warehouses, Data Lakes, Cloud Technology, Business Intelligence and CRM products, • Implementation or Sales Experience in Salesforce D360 and Agentforce, • Hands on Experience on Salesforce CRM technology like Sales Cloud, Service Cloud, Marketing Cloud or any Industry Clouds, • Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science, • Hands on Experience in AI/ML solutions like Einstein, Sagemaker, and Vertex. Solid Understanding of Generative AI., • Hands on Experience designing data solutions on cloud platforms like Amazon Web Services, Microsoft Azure or Google Cloud Platform., • Hands-on expertise with analytics tools like Tableau, PowerBI, Looker, etc, • Familiarity with data activation or "reverse ETL" platforms in the context of Composable Data Platforms (CDP) and integrating various marketing technologies and data tools into a cohesive system.

Reporting to the CTO and collaborating closely with cross-functional leaders, you will oversee the day-to-day operations of the engineering team—ensuring high performance, strong alignment, and delivery of meaningful product value. You’ll combine hands-on technical involvement with strategic oversight, contributing to product decisions and guiding the evolution of our architectural vision. Key Responsibilities • Translate high-level company objectives into clear weekly and monthly engineering plans, defining project scopes and deliverables across product, science, medical, and regulatory domains., • Drive consistent delivery of high-quality solutions that raise the bar for our products and engineering standards., • Continuously evaluate and improve engineering processes, identifying opportunities to increase efficiency, strengthen collaboration, and reduce time-to-market., • Foster alignment between Engineering and AI/Science teams, playing a key role in developing our first Software as a Medical Device (SaMD) product and applying your domain expertise to ensure compliance and excellence., • Mentor, coach, and empower engineers to do their best work; promote a positive, resilient, and growth-oriented team culture., • Embrace change and maintain a proactive, solutions-oriented mindset while navigating a fast-moving environment., • Promoting and advocating for technical best practices Essential Skills & Experience • 5+ years of professional software development experience., • Proven experience leading and managing engineering teams., • Strong stakeholder management and cross-functional communication skills., • Expert-level JavaScript skills (Node.js or React), ideally with TypeScript experience., • Proficiency in designing, building, and maintaining RESTful APIs., • Experience working with both SQL and NoSQL databases., • Knowledge of microservices architectures and distributed system patterns., • Cloud experience (AWS or GCP) and familiarity with modern infrastructure tooling., • Strong capability in debugging, maintaining, and improving existing software systems., • Healthcare technology experience, including working with standards such as FHIR, HL7, EHRs, or LIMS., • Understanding of Software as a Medical Device (SaMD) principles and regulatory context., • Startup experience and a positive, adaptable mindset—comfortable with change, pace, and ambiguity. Company Benefits • 🏝 Take what you need time off, • 🏃 Setup for remote working, • 💻 Macbook pro 14", • 💪 Private health insurance, • 📝 Pension or 401k contribution, • 📈 Equity in the company, • 💰 Competitive salary Interview Process • 20 min initial call with CTO, • 60 min technical interview with team, • 30 min cultural interview, • Meet in person

Role: Principal Developer Location: Office in Birmingham Working Model: Mostly remote – twice per month in the office Salary: Up to £85k Plus benefits Your mission, should you choose to accept it, is to seek and destroy any technical performance issues to the flagship software product for the company. You’ll be able to roam about freely in the code to uncover and fix any significant performance, reliability, safety, and scalability problems for the foreseeable future. The flagship product is a legacy application that is going to be replaced with a new, shiny version, but the OG needs to be tightened up on its performance to make sure that all the customers that use it have a seamless experience when the transition happens, and whilst the new version is being created, it needs to be at its best- it’s used by a LOT of people. This is a really interesting role, in my opinion: it’s a very self-directed one where you’ll operate outside of the usual ticket-based Agile system to go off and solve problems all day! You see a part of the product that is lagging behind others? Make it go faster. You spot a nasty security risk? Make it safer. You identify an issue with spikes in traffic? Make it smoother. The tech for this mission is: • C# & .NET 4.8, • ASP.NET MVC & Knockout.js, • Azure SQL., • Azure, • Azure DevOps This part of the role will likely last around 18-24 months and will taper down as the new version is completed and transitioned over to. But do not fear! This will not be the end of your journey: the progression paths for you are numerous: it’s down to where you want to go. If you’re strong with Azure architecture and infrastructure-as-code, you’ll be well placed to join the architecture team, or if you’d prefer, you can be a tech lead for a new shiny tech team using C#, .net core 9+, Angular19+, and Azure, or go down the management route if that’s what you’d like. You will need to be excellent at what you do with a true love for technology. Just because the initial part of the role will be based around legacy code, doesn’t mean it isn’t a vitally important, and particularly complex task! You will have 2 software engineers to aid you in your quest and have access to a QA, too, when you need them. I think this would be a really fulfilling role for someone who loves to problem solve, regardless of what technology that problem happens to be written in. You’ll be adding real value to the team, not sat in some dark corner where nobody cares- you’ll be front and centre and when your mission is complete, you’ll go onto other equally interesting and important projects with them. If this sounds like it was made for you, please get in touch now to find out more about your new role! This advert will self-destruct in 5, 4, 3, 2,1…. BOOM! We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background.

Job Summary The Data Engineering Consultant, working independently under limited oversight, empowers the organization through architecting, designing, and executing advanced analytics capabilities. In an agile team setting, they collaborate with data scientists, data analysts, and product teams to translate business needs into technical specifications and develop complex data pipelines. This role sets the strategic and technical direction for data capabilities, designing pipelines for data extraction, transformation, and loading from diverse sources. They handle large, complex data sets, solve business challenges using unstructured data, and act as a subject matter expert, mentoring less experienced Data Engineers. The focus of this role within the exposure engineering team is the build out of data products that integrate exposure data and modelled-loss outputs, and the publishing of certified datasets and dashboards that enable the business to visualize and manage its enterprise exposures in line with risk appetite. Job Responsibilities • Responsible for designing, maintaining and implementing the overall strategic vision for acquisition, storage and consumption of data, particularly in their specific area of focus in collaboration with other technical leads, Solution Architects, Enterprise Architects and Security/Risk/Audit resources., • Responsible for building technical roadmaps that contain long-term design that are securely engineered to provide or support high quality data services to the business., • Designs and builds solutions based on strategic vision, user needs, best practices, and tool capabilities in collaboration with business stakeholders, IT resources and Architects., • Assists with preparing and reviewing estimates and distributing work across the team, including enhancements, production support and on-call responsibilities., • Helps develop talent and build effective teams through coaching, mentoring, feedback and training., • Designs, builds, and maintains custom data pipelines and ETL processes in support of business and Data Scientist needs and initiatives., • Populates data warehouses, and data marts to meet demand for data across the organization using traditional data integration technologies including, ETL, and data replication/CDC., • Builds and maintains API / C# .NET connectors for model vendor integrations, • Enables data consumption via visualization tools and underpinning semantic models (e.g. PowerBI), • Implements geospatial roll-ups for visualization heatmaps (using H3/hex-grid functions), • Applies loss-modelling business logic for property (catastrophe), casualty and cyber business, • Partners with data analysts, data scientists, and other data consumers across IT and the business to optimize data availability with intention to build, refine and enhance AI/ML models and algorithms., • Drives continuous improvement in data pipelines and data warehouses and partners with others to ensure both timely availability and security of data., • Provides on-call support daily operations via analyzing and correcting incidents and defects in a timely fashion., • Serves as a peer mentor to less experienced Data Engineers., • 7+ years of Data Analyst experience., • Bachelor’s degree in Information Technology, Computer Science, Engineering, Mathematics or related field or commensurate experience., • Collaborates, • Communicates Effectively, • Customer Focus, • Decision Quality, • Snowflake (Streams/tasks, snowpipe, performance tuning), • SQL, • .NET (C#) API Development (REST, JSON), • PowerBI, • Data analysis, • Data Modeling, • Data Engineering, • Python

Role: Sr Java Developer Location: Bournemouth, England, United Kingdom Work mode: Onsite (5 days a week) Job Type: Contract Job Summary The Java FSE Sr developer will be responsible for designing, developing, and maintaining software applications using AWS, SQL, Spring Boot, Java, Spring MVC, JavaScript, and MySQL. This role requires a minimum of 9 years and a maximum of 13 years of experience. The candidate will work from the office. Responsibilities: • Develop high-quality software design and architecture using AWS, SQL, Spring Boot, Java, Spring MVC, JavaScript, and MySQL., • Collaborate with cross-functional teams to define, design, and ship new features., • Ensure the performance, quality, and responsiveness of applications., • Identify and correct bottlenecks and fix bugs., • Maintain code quality, organization, and automation., • Implement security and data protection measures., • Conduct software analysis, programming, testing, and debugging., • Oversee the development of documentation throughout the software development life cycle., • Provide technical guidance and support to team members., • Stay up-to-date with emerging technologies and industry trends., • Optimize applications for maximum speed and scalability., • Participate in code reviews to maintain high code quality standards., • Contribute to continuous improvement by investigating alternatives and technologies.

At Person Centred Software, we’re building technology that makes a real difference in the lives of those in care. As a Software Engineer, you’ll contribute to the design and development of innovative software solutions that improve care outcomes across the UK. If you're passionate about writing clean, scalable code and collaborating within a high-performing, agile team, this is a fantastic opportunity to grow your impact in a meaningful sector. What You’ll Do: • Write clean, efficient, and maintainable code across the full software development life cycle, • Develop front-end and back-end features using Microsoft .NET technologies, including Blazor and .NET Core, • Collaborate with product managers and stakeholders to define requirements, acceptance criteria, and effort estimates, • Ensure quality by writing unit and behaviour-driven tests (e.g., MS Test/XUnit, Playwright, Appium) for new and modified code, • Work within an Agile development process, contributing to sprint planning and retrospectives, • Participate in design discussions and produce clear, high-quality documentation for all developed solutions, • Support the continuous improvement of development processes, coding standards, and team collaboration, • Engage with internal teams to ensure delivery of robust, scalable, and user-centric software, • Contribute to the development of APIs, inter-application communication, and database integration What You’ll Bring: • Experience of developing in C# within Agile environments, • Strong experience with .NET Core, Blazor, SQL databases, and both front-end and back-end development, • A solid grasp of test-driven development, including unit and BDD practices, • Excellent organisational skills and the ability to self-manage workload and priorities, • Collaborative approach with strong communication skills and attention to detail, • (Desirable) Experience with OAuth2/OIDC and Identity Server, • (Desirable) Knowledge of Azure services (Functions, Event Grid, Service Bus, SQL, AKS, Data Factory, Databricks, Fabric), web design (HTML/CSS/JavaScript), and mobile app development, • (Desirable) Experience with SaaS, multi-tenant solutions, or high-throughput environments, • (Desirable) Use of Azure DevOps for planning, tracking, and deployment pipelines What We Offer: • A base salary of £45,000 - £55,000 and bonus depending on experience, • Modern town centre offices in Guildford, with opportunity for ad hoc home working, • 25 days holiday, increasing with service, • Contributory pension scheme, • Additional perks including; cycle to work scheme, staff discounts portal and Employee Assistance Programme At Person Centred Software, we’re leading the digital revolution in social care. Our technology is reshaping an industry that impacts millions—driving efficiency, improving outcomes, and setting new standards. Every day, your work will help modernise and future-proof social care. 🚀 Tech That Transforms –automation, real-time data—our solutions are redefining how social care operates 🏆 Join the Market Leader – Trusted by thousands, we set the benchmark for digital transformation in social care 💡 Drive Meaningful Innovation – Work at the forefront of a sector ready for change, where your skills fuel real-world impact 📈 Challenge Yourself, Make a Difference – If you love tech and solving big challenges, we want to hear from you 🤝 Work with the Best – Join a team of top-tier professionals passionate about using technology to drive change

Senior Automation Test Engineer - ETRM / Trading Platforms Permanent Location: London / Home (Hybrid) Salary: £70,000 - £90,000 (+ benefits) Skills: ETRM platform experience, (Openlink Endur, Findur etc.), Automation testing Python, Java etc. We are looking to recruit an Automation Tester, with trading platform experience, for a leading software company that delivers advanced solutions for trading and risk management across global financial and energy markets. This is a hybrid role and you will be required to work on client site in London 2 / 3 days a week. What you'll bring Essential skills include strong experience in test automation with an ETRM platform with as many of the following as possible: • Programming & Scripting: Python, Java, JavaScript, C++, Scriban, • Web Technologies: RESTful APIs, HTTP, JSON, HTML, CSS, Node.js, • Databases: SQL Server, MySQL, PostgreSQL, MongoDB, • Tools & Frameworks: Git, Docker, Jenkins, Kubernetes, Agile (Scrum & Kanban), JIRA, Pytest, Powershell, • Operating Systems: Linux, Windows Additional skills that will set you apart: • CI/CD pipelines and debugging expertise, • BDD frameworks such as Cucumber, • Strong problem-solving mindset and collaborative approach Industry background Experience in the following sectors is highly desirable (in order of preference): • Energy/Financial Trading, • Regulated software industries, • High volume, high complexity data systems

Job Title: 2nd Line Application Support Engineer Location: Cardiff office | Hybrid (2 days per week in office / 3 days per week remote) Type: Permanent | Full-Time Salary: £40,000 - £45,000 per annum (negotiable depending on depth of experience) plus great benefits package Role Overview: As a 2nd Line Application Support Engineer, you will act as a technical escalation point for complex customer and internal issues raised. Working closely with the 1st line support, engineering, product and operational teams, you’ll be instrumental in diagnosing and resolving application-related incidents and problems while maintaining high levels of customer satisfaction. Key Responsibilities: • Respond to and resolve tickets escalated from 1st line support within agreed SLAs., • Investigate and troubleshoot complex application and platform issues, • Liaise with development and DevOps teams to diagnose bugs, performance bottlenecks, and configuration issues., • Provide workarounds or fixes and assist in root cause analysis and problem management., • Maintain and contribute to internal knowledge bases and support documentation., • Support release processes, including smoke testing, deployment verification, and post-release monitoring., • Participate in incident management processes, including contributing to post-mortem reviews and service improvement plans., • Provide guidance and mentoring to 1st line support staff when necessary., • Provide ticket trend tracking and internal technical documentation Skills and Experience: Essential: • Proven experience in a 2nd line (or similar) application support role within a SaaS environment., • Strong troubleshooting skills across web and mobile applications and APIs., • Good understanding of cloud-based platforms, particularly Microsoft Azure (App Services, Azure SQL, Storage, etc.)., • Experience using Freshdesk (or similar ticketing systems) in a structured support environment., • Familiarity with log analysis tools and techniques (e.g., Azure Monitor, Application Insights, Log Analytics)., • Comfortable working with REST APIs, JSON, and common web technologies., • Excellent communication and customer service skills with the ability to explain technical issues clearly. Desirable: • Exposure to CI/CD pipelines and deployment workflows., • C# Development Experience, • Basic knowledge of SQL and scripting for diagnostics and reporting., • Familiarity with agile methodologies and tools like Jira, Confluence, or equivalent., • Experience with monitoring tools and alerting systems., • ITIL Foundation or similar service management certification. Please apply within or contact Ash from Greystone Consulting Group to discuss further. Telephone: 02921 880 588 Email:

Project Description: Luxoft has one of the world's leading Calypso practice. We are a top-tier Calypso Partner and a market leader in implementation, integration, upgrade, and migration. Luxoft provide end-to-end project services and have delivered Calypso projects across all major asset classes and sectors including investment banking, asset management, corporate treasury, and insurance. Project Description: • Support and additional build out (projects) for Calypso instance. Responsibilities: • Address and respond to production support issues and trouble shoot issues arising from day-to-day activities Calypso instance, • Provide support to FO and MO users on Calypso, • Configure, updated, optimize functional set up in Calypso, • Execute (where required) SOD/ EOD Scheduled Tasks, • Develop necessary functional solutions for Calypso instance as per requirements (if required), • Monitor if market quotes fail to update Calypso system error messages, • Monitor feed & security definitions download, if reprocessing of trades needed or reprocessing of events, • Ensures supporting documents are complete, current, and appropriately stored, • Works closely with relevant business and technology stakeholders to ensure effective and efficient implementation of the project(s), • Submits status reports to stakeholders; coordinates and provides updates to steering committees, • Collaboration with key functional or business stakeholders to achieve clear outcomes/deliverables in relation to the strategic and transformational book of work, • Manage deliverables ensuring transparency of risks, issues and dependencies that are fully aligned to functional / business owners, • You might be acting also as a business analyst as well in order to help the team gathering and writing requirements, acceptance criteria. Sampling of Tasks Expected to be Performed: • Configuring Standard & Custom Interfaces within Calypso, • Setting up Quote Feeds from Bloomberg, • Set-up Holiday Calendar feed, • Set-up Interest Rate Curves & other market data, • Set-up Dividend Curves for Custom Index, • Set-up Equity Volatility Surface feeds, • Translate Historical Volatility of Volatility-controlled indexes to a Volatility Surface to be used in Calypso, • Set-up pricing configuration & pricing parameters, • Some end-of-day processing/monitoring needed Mandatory Skills Description: • 3+ years of experience working in Capital Markets and Calypso, • Front office - Equity derivatives knowledge ( Equity Swaps, Portfolio Swaps etc.) is a big plus., • Good knowledge of Financial products cross assets, • Expertise with a front-to-back Calypso derivatives solution, • Ability to work with little supervision, be a fast learner, self-motivated, team player, and collaborator with strong problem solving skills., • Must be resourceful and demonstrate initiative in getting the job done., • Good oral and written communication skills are essential., • Ability to train and transfer knowledge to Guardian's business and technology stakeholders, • Proven track record of delivery of implementation / migration projects, • Proven experience in the development of Calypso integrations, reporting, and other technical aspects, • Experience of adherence to governance frameworks / implementation and handover to BAU, • Comprehensive knowledge of trade flow, trading systems and related concepts and technology, including valuation and client/market risk management, • Leadership skills, • Excellent analytical skills, understanding of project life cycles, and ability to act in an entrepreneurial manner to ensure the requirements from the business are gathered in the appropriate manner., • Proven analytical, planning, problem solving and decision-making skills, • Comfortable with direct communication with all levels of technical and business resources, • Excellent organizational and time management skills with the ability to handle multiple tasks simultaneously, • Experience with working in a highly collaborative and dynamic multi-team environment Nice-to-Have Skills Description: • Experience working with a software vendor in a Business Analysis role or a functional back-office user role within the insurance industry., • Expertise in the support and implementation of the Calypso Back-Office system primarily in post-trade processing areas of, • Trade validation, Cross-Asset Accounting, Settlements, Reconciliations, Messages (SWIFT/Paper), Regulatory and Internal reporting. b. Fixed Income and Money Market (FI/MM) c. Interest Rate Derivatives (IRD) d. FX Derivatives (FXD) e. Credit Derivatives f. Equities and Equity Derivatives g. Commodities and Commodity Derivatives. • Candidates with experience in the Market Risk area with knowledge of FRTB, VaR (Parametric, Monte Carlo, Historical, • simulation), Back Testing, Stress testing, Sensitivities and Scenario analysis will be considered. Knowledge of market data, • providers., • Hands on experience massaging or analyzing data using tools such as Excel, SQL, or similar., • Ability to work under pressure in a fast-paced environment is essential., • Have a willingness to learn new skills, • Must have attention to detail, • Must have the ability to work independently and also as part of a group, • Experience of Agile practices and processes (e.g. SCRUM, KANBAN), • Any technical knowledge (Writing simple sql query, be able to read code ), • Conflict management ensuring collaborative outcomes, • Excellent attention to detail and accuracy

Job description: Job Title: Snr Solutions Architect Contract Type: Permanent Location: Alderley Edge / Edinburgh Working style: Hybrid 50% home/office based Closing date: 28th Dec 2025 At Royal London Group, we’re evolving the technology that underpins our most critical services—delivering innovative, secure, and scalable solutions that support millions of customers across pensions, protection, savings, and investments. We’re seeking Senior Solutions Architects to join our teams across multiple domains, including Protection, Digital Platforms, Long Term Savings, Legacy Savings & Closed, and Data, Integration Platforms & Shared Services. Reporting to Lead or Principal Domain Architects and aligned to our core business value streams, you’ll play a strategic and hands-on role, shaping the architectural backbone that enables innovation and long-term growth. Responsibilities • Interpret business and technical requirements into clear architectural designs that support long-term product evolution and strategic goals., • Evaluate current systems for gaps and opportunities, guide end-of-life decisions, and recommend improvements to reduce technical debt and enhance efficiency., • Lead solution design across platforms, ensuring alignment with enterprise standards, security, and performance., • Drive simplification, integration, and modernisation of platforms, supporting large-scale migrations and shaping enterprise-wide architecture strategies., • Mentor and support other architects and engineers, fostering an inclusive and collaborative environment., • Influence senior stakeholders and contribute to the strategic direction of technology across the business. What You’ll Bring, • Significant experience in solution architecture within complex, regulated environments (financial services, insurance, pensions, assurance, savings, or annuities)., • Deep understanding of modern architecture patterns (MACH, event-driven, DDD, Strangler Fig)., • Advanced hands-on experience with C4, ArchiMate, and tools like Ardoq, LeanIX, or Orbus., • Strong technical background in .NET, Java, Python, Azure, CI/CD, APIs, and data platforms (SQL, NoSQL, Snowflake, Databricks, Power BI)., • Experience with integration architecture (APIs, event-driven design, CQRS), platform engineering, and shared services enablement., • Familiarity with Microsoft technologies, especially Azure and .NET, and with mobile/web frameworks, serverless, and edge computing., • Experience with pensions or policy platforms (e.g., Bravura Sonata, TCS BaNCS, FNZ) and cloud migration frameworks is desirable., • Ability to translate business goals into executable, scalable, and traceable designs., • Passion for mentoring, continuous learning, and inclusive collaboration., • Excellent communication skills and the ability to build consensus across diverse teams. Our People Promise is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values: Empowered, Trustworthy, Collaborate, Achieve. We’re proud to reward employees with great workplace benefits such as 28 days annual leave (plus bank holidays), up to 14% employer matching pension scheme, and private medical insurance. Inclusion, Diversity and Belonging: We celebrate and value different backgrounds and cultures across Royal London.

Job description: Job Title: Technical Specialist Contract Type: Permanent Location: Alderley Park Working style: Hybrid 50% home/office based Closing date: 19th December 2025 We have a unique opportunity to offer roles within the Chief Operating Office that will help shape the future of Royal London, across several disciplines. Our Chief Operating Office (COO) works across Royal London to help deliver the Group’s strategic ambitions. We work in partnership to deliver operational excellence, drive innovation, enhance customer experience, and protect our business from threats impacting our industry. About the Opportunity • Modernising our technology is fundamental to realising our ambitions and achieving sustained competitive advantage. It will allow us to develop an innovative and leading proposition, achieve speed to market and ongoing pace of change, and maintain a competitive cost-to-develop and cost-to-serve., • We are forming new engineering capability in our Alderley Park office to deliver and maintain a new technology solution which will support our financial product offering., • We are seeking an expertly skilled and experienced Cloud DevOps Technical Specialist to play a lead role in building amazing digital solutions for our customers and business users. The team will be focussed on delivering a new state-of-the-art investments platform, an undertaking that is expected to take several years. About you • Expert in Kubernetes cluster design, deployment, and management, specifically within Cloud environments such as Azure, AWS or GCP., • Expert in Infrastructure as Code (IaC) Development: Design, implement, and manage Terraform scripts to automate cloud infrastructure on Azure, ensuring efficient and secure resource provisioning., • Expert in CI/CD Pipeline Implementation: Develop and maintain CI/CD pipelines in Azure DevOps, integrating Terraform to automate infrastructure deployments with validation and security checks., • Experienced in Environment Management: Manage multiple environments using Terraform Workspaces, ensuring best practices for state file management, versioning, and locking mechanisms., • Experienced in Workload Design and Management: Design and manage highly scalable and resilient workload solutions including cloud native serverless and containerised workloads to Kubernetes., • Experienced in Event Streaming: Design and maintain business critical event streaming capability with Kafka or Confluent., • Experienced in Collaboration and Optimization: Work with cross-functional teams to define infrastructure requirements, implement monitoring and performance optimization, and ensure security and compliance using Azure tools., • Experienced in supporting microservice development and deployment., • Experienced in the deployment and management of SQL and NoSQL databases such as Postgres, Oracle, MongoDB., • Thrives under little to no supervision., • An experienced DevOps lead and mentor., • Continuously developing new skills, driving best practice, and emerging technology adoption. The successful candidate will have a real impact into how Royal London develop our applications and will provide a blend of both solid leadership experience and technical expertise. You will be given the opportunity to grow your career within a team focussed on promoting internal career progression. This role is focussed on our exciting new Pensions Application stack and contributes to our purpose of strengthening the mutual choice for our customers, by providing the best technology solutions to our customers. About Royal London We’re the UK’s largest mutual life, pensions and investment company, offering protection, long-term savings and asset management products and services. Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered, Trustworthy, Collaborate, Achieve. We've always been proud to reward employees by offering great workplace benefits such as 28 days annual leave in addition to bank holidays, an up to 14% employer matching pension scheme and private medical insurance. You can see all our benefits here - Our Benefits Inclusion, diversity and belonging We’re an Inclusive employer. We celebrate and value different backgrounds and cultures across Royal London. Our diverse people and perspectives give us a range of skills which are recognised and respected – whatever their background.

About the role The Analytics Capabilities team is responsible for developing and managing data products that drive intelligent experiences, decisions and actions across the Tesco ecosystem. We work in close partnership with business and technology teams across Stores, Finance, People, Customer, Commercial to enable the seamless build, consumption, integration and expansion of Data & AI capabilities. This is a fantastic opportunity to join our team and play a leading role in defining, building and launching new type of data products that have a real impact on Tesco business & colleagues. This is a hybrid role with the expectation of being based at our London and Welwyn Garden City offices 3 days a week. You will be responsible for As an Analytics Manager, you will lead a team of analysts to design, build and optimise high-quality, scalable and secure data products that empower data driven decision making across Tesco. You will combine technical expertise in analytics, engineering and modelling with people leadership, ensuring our data environments, tools and outputs are robust, reliable and aligned with business needs. You will collaborate closely with data science, engineering, product and business teams to deliver impactful data solutions and foster a culture of innovation and best practice. You will be responsible for: • Team Leadership: Build, mentor and develop a high-performing team of analysts, fostering a culture of growth, inclusion and technical excellence with a strong emphasis on data and advanced analytics., • Data Product Development: Lead the design, development and optimisation of scalable, secure and high-quality data pipelines and analytical models, enabling advanced analytics, machine learning and operational use cases., • Collaboration: Work closely with cross-functional teams, including data science, engineering, product and business stakeholders to translate business needs into robust, data driven solutions., • Technical Excellence: Promote and enable adoption of Technical Standards and Engineering Effectiveness within development squads., • Technical Experience: Demonstrate expertise in using SQL (Spark, Dremio), Python, GitHub and data orchestration tools (Airflow, Oozie) for data wrangling, building data pipelines and developing analytical interfaces., • AI-Assisted Analytics: Bring experience and curiosity towards AI-assisted analytics and machine learning, actively exploring opportunities to integrate AI and ML within data and analytics products., • Data Governance: Ensure data lineage, cataloguing and access controls are implemented and maintained, supporting compliance, discoverability and ethical use of data., • Continuous Improvement: Drive continuous improvement (speed of delivery, product quality, reduce number of defects and time to fix) and facilitate innovation in business practices and ways of working., • Stakeholder Engagement: Communicate complex data and analytics concepts effectively to technical and non-technical audiences, enabling informed decision making. • Annual bonus scheme of up to 20% of base salary, • Holiday starting at 25 days plus a personal day (plus Bank holidays), • Private medical insurance, • 26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave, • Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing About Us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco. Beware of Recruitment FraudWe never ask for money during our hiring process. Any request for payment made in the name of Tesco is not legitimate. Please report suspicious activity to

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: AI Task Evaluation & Statistical Analysis Specialist Type: Contract Compensation: $100–$120/hour Location: Remote Role Responsibilities • Conduct comprehensive statistical failure analysis to identify patterns in AI agent failures across task components such as prompts, rubrics, and templates., • Perform root cause analysis to determine if failures are due to task design, rubric clarity, file complexity, or agent limitations., • Analyze performance variations across finance sub-domains, file types, and task categories to enhance understanding of AI model performance., • Create dashboards and reports to highlight failure clusters, edge cases, and improvement opportunities., • Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings., • Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition., • Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis., • Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets., • AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics., • Experience with AI/ML model evaluation or quality assurance., • Background in finance or willingness to learn finance domain concepts., • Experience with multi-dimensional failure analysis., • Familiarity with benchmark datasets and evaluation frameworks., • Upload resume, • AI interview based on your resume

Role: Snowflake Architect Location: Basildon, UK/Dublin, Ireland Work mode : Hybrid Responsibilities: -Design, develop, and maintain robust data pipelines and ETL processes using Snowflake on AWS. -Implement data warehousing solutions, ensuring efficient storage, retrieval, and transformation of large datasets. -Collaborate with data analysts, scientists, and other stakeholders to define and fulfill data requirements. -Optimize performance and scalability of Snowflake data warehouse, ensuring high availability and reliability. -Develop and maintain data integration solutions, ensuring seamless data flow between various sources and Snowflake. -Monitor, troubleshoot, and resolve data pipeline issues, ensuring data quality and integrity. -Stay up-to-date with the latest trends and best practices in data engineering and cloud technologies. Cloud Services such as AWS Qualifications: Bachelor’s degree in computer science, Engineering, or a related field. 5+ years of experience in data engineering, with a strong focus on Snowflake and AWS. Proficiency in SQL, Python, and ETL tools (Streamsets, DBT etc.) Hands on experience with Oracle RDBMS Data Migration experience to Snowflake Experience with AWS services such as S3, Lambda, Redshift, and Glue. Strong understanding of data warehousing concepts and data modeling. Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. Understanding/hands on experience in Orchestration solutions such as Airflow Deep knowledge of key non-functional requirements such as availability, scalability, operability, and maintainability

At Crossing Hurdles, we work as a referral partner. We refer candidates to Mercor that collaborates with the world’s leading AI research labs to build and train cutting-edge AI models. Organization: Mercor Position: Data Scientist (Kaggle Grandmaster) Referral Partner: Crossing Hurdles Type: Hourly Contract Compensation: $56/hour Location: Remote Commitment: 10–40 hours/week Role Responsibilities (Training support will be provided) • Analyze large, complex datasets to identify patterns and generate actionable insights., • Build high-performing predictive models, statistical analyses, and ML pipelines across varied data types., • Design and implement rigorous experiment frameworks and validation strategies., • Automate workflows, feature pipelines, and reproducible research environments., • Conduct exploratory data analysis, hypothesis testing, and interpret modeling outcomes., • Collaborate with ML engineers and research teams to productionize models at scale., • Present findings through clear documentation, dashboards, and reports. Requirements • Kaggle Competitions Grandmaster or equivalent achievement (multiple medals or top-tier rankings)., • Strong experience in data science, analytics, or ML-driven research., • Proficiency in Python and key libraries such as Pandas, NumPy, Polars, and scikit-learn., • Solid knowledge of experiment design, causal inference, and statistical modeling., • Familiarity with SQL, distributed data systems, and experiment tracking tools., • Excellent communication and data storytelling skills. Application Process (Takes 20 min) • Upload resume, • AI interview based on your resume (15 min), • Submit form

Social Housing Application Support Analyst role, available on a Permanent basis for a Social Housing provider in Bedfordshire. This role will join an existing Housing Systems team as part of a wider technology function. Role: Housing Application Support Analyst Salary: £55,000-£65,000 Location: Bedfordshire – hybrid working of 2 days a week in the office Sector: Social Housing The essential skills for this role are: • Strong knowledge of Social Housing System(s), • Strong knowledge of Social Housing processes, • SQL Server experience (Reporting Experience in SSRS, Restores, Debugging performance), • Experience working closely with the software supplier The role will help see the replacement of the finance system, as well as a period of transition between Housing Management Systems. The organisation has a great reputation in the sector, and people in this team like working there, with strong levels of tenue. If this role is of interest, please apply with a copy of your up-to-date CV for review.

Senior Data Engineer Hybrid (3 Days Per Week) - London Up to £80,000 + Benefits We're partnering with one of the most exciting InsurTech scale-ups in the market - a company transforming how brokers and insurers exchange risk, already processing over $150m in premium and targeting $1B by 2027. They're looking for a Senior Data Engineer (3-5 years' experience) to help scale their modern data platform as they continue rapid growth. What you'll do: * Build and maintain scalable, automated, reliable data pipelines across a modern cloud stack * Extend and improve a cutting-edge Data & Analytics Platform supporting mission-critical insurance products * Implement data quality checks, observability metrics and troubleshooting processes * Manage cloud resources via Infrastructure-as-Code * Ensure strong data security, access control, and governance * Work closely with commercial, analytics and engineering teams to deliver high-quality data products What you'll bring: * 3-5 years' experience as a Data Engineer * Strong SQL and Python skills * Proven experience building modern ETL/ELT pipelines (dbt experience ideal) * Experience with data orchestration tools (Prefect preferred) * Understanding of data modelling, especially event-driven architectures * Knowledge of modern data engineering development practices Nice to have: * Background in InsurTech/FinTech or regulated industries * Experience with Docker, containerisation, and IaC tools * Exposure to cloud-native data environments Why join? * Work at the forefront of a market undergoing a "Big Bang" digital transformation * Join a smart, curious, collaborative team backed by deep insurance and technology expertise * Build systems that will scale to handle millions of dollars of real-world insurance risk * Huge growth opportunity as the company scales rapidly

🚀 Data Scientists Wanted – Enterprise AI/ML Transformation 🚀 A leading global tech consultancy is building out their Data Science capability for a major client – and we're hiring across multiple levels! 📍 Location: Coventry (Hybrid – 2 days on-site) 💼 Contract Type: Permanent 🎯 The Roles: Senior Data Scientist (5+ years) – Lead complex ML initiatives, deploy production models, mentor team members, and drive AI strategy aligned with business outcomes. Data Scientist (3+ years) – Develop and deploy ML/AI models, collaborate with data engineers on scalable pipelines, and translate business problems into analytical solutions. 🔧 Core Tech Stack: • Python & SQL (Expert level), • Azure ML, Azure Synapse, Databricks, • MLOps, MLflow, CI/CD pipelines, • NLP, Deep Learning, Time-Series Forecasting, • Power BI for data storytelling, • Docker & Kubernetes ✅ What We Need: • Strong grasp of CRISP-DM methodology & Agile delivery, • Experience with model interpretability & fairness tools, • Statistical modelling, causal inference & A/B testing expertise, • Ability to explain complex AI concepts to non-technical stakeholders 🌟 What's On Offer: • Permanent roles with a global consultancy leader, • Hybrid working – Coventry-based flexibility, • Cutting-edge AI/ML – Work on real-world business challenges, • Career progression – Join an established Data & Analytics practice

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Database Administrator Type: Contract Compensation: $75–$100/hour Location: Remote Duration: ~6 weeks Commitment: 30+ hours/week Role Responsibilities • Design and optimize complex SQL queries using EXPLAIN plans and indexing strategies., • Implement schema changes with CREATE/ALTER statements and rollback planning., • Configure and validate automated backup and restoration procedures., • Manage user roles and permissions following defined security policies., • Export/import data between systems with validation checks and encoding integrity., • 5+ years of experience as a Database Administrator in production environments., • Expert-level SQL skills and proficiency with PostgreSQL, MySQL, and/or SQL Server., • Strong background in performance tuning, security, data integrity, and schema design., • Familiarity with compliance standards (e.g., SOX), data export formats, and backup tooling., • Independent contractor, • Submit your resume, • Domain expertise interview

Contract: Dynamics 365 ERP Data Specialist (SQL / Automation) Wolverhamtpon | Hybrid (1 day onsite per week) £350-400 per day (Outside IR36) 8 Weeks with potential extension - Start date: 5th Jan ideally We’re supporting a business that has recently implemented Dynamics 365 and needs short-term, hands-on support to tidy up a number of ERP data, reporting logic and automation gaps. This is a pragmatic delivery role, not a platform build or transformation programme. What you’ll be doing • Fixing sales order reporting logic, ensuring changes (adds, reductions, cancellations) are recorded in the correct period using snapshot/delta-style data logic, • Improving ERP data history tracking (e.g. dwell / status duration) by storing events in Dataverse, • Restructuring orderbook categorisations by combining multiple D365 fields into a single, consistent view, • Supporting a mass update in Dynamics 365 (e.g. marking items as End of Life) alongside an implementation partner, • Re-pointing Power Automate flows from a legacy ERP to Dynamics 365 What we’re looking for • Hands-on experience working with Dynamics 365 data (Finance / Supply Chain context ideal), • Strong SQL / data manipulation skills, • Practical experience with ETL, data shaping and automation, • Comfortable working with loosely defined requirements and running tasks end-to-end, • A pragmatic mindset — focused on getting things working, not over-engineering

About the Role Join a mission-critical team within our firm’s cutting-edge platform engineering function, supporting platform for front-office developers (quants and strategists). This is a unique opportunity to remain hands-on in engineering while also leading a focused, high-impact team. You’ll be at the forefront of data and cloud-native engineering, working with modern technologies across AWS, On-premise kubernetes, Python, and data pipelines, while engaging directly with key internal platforms and front-office business developers. If you are passionate about solving hard technical problems, staying current with trends like AI Engineering, and want to make a difference in a globally respected financial institution, this role is for you. The successful Senior AWS Data Engineer candidate will have the chance to make a significant impact in designing the platform and working on cutting-edge technologies like Databricks and Snowflake in the heart of a leading global Investment Banks’ front-office. This is a rare greenfield role that offers the opportunity to solve the ultimate data pipeline challenge faced by all banks, working closely with various businesses and gaining an overview of many different sectors. What We’re Looking For • 10 + years, hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools., • Strong experience engineering in a front-office/capital markets environment., • Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security., • Proficiency in data processing and analysis using Python and SQL., • Experience with data governance, data quality, and data security best practices., • Strong knowledge of market data and its applications., • Understanding of Generative AI concepts, along with hands-on experience in developing and deploying AI applications in real-world environments. Leadership Responsibilities • To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures., • Lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements., • Demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard., • Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment., • Manage and mitigate risks through assessment, in support of the control and governance agenda., • Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Nice to Have • Experience with other data engineering tools and technologies., • Knowledge of Machine Learning / AI and data science concepts. Accountabilities • To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure., • Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data., • Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures., • Development of processing and analysis algorithms fit for the intended data complexity and volumes., • Collaboration with data scientist to build and deploy machine learning models.

Planet DDS is a leading provider of cloud-based solutions that empower growth-minded dental businesses. Now serving over 13,000 practices and 118,000 customers in North America, Planet DDS delivers a comprehensive suite of solutions, including Denticon Practice Management, Cloud 9 Ortho Practice Management, and Apteryx Cloud Imaging. Planet DDS is dedicated to enabling dental support organizations (DSOs) and groups to grow and thrive with technology that delivers seamless integrations, improved workflows, and future-proof scalability. We are seeking a forward-thinking Software Architect to design, guide, and implement scalable, secure, and innovative software solutions across Planet DDS product lines. This role will collaborate closely with product and engineering teams to translate business needs into robust technical architectures while ensuring alignment with best practices and Planet DDS’s technology roadmap. The Software Architect will provide technical leadership, mentor engineers, and ensure the delivery of high-quality SaaS solutions. The ideal candidate will be passionate about leveraging AI to transform user experiences, optimize workflows, and architect intelligent, adaptive systems that evolve with the needs of our customers. This is a hybrid role with 1-2 days in the Glasgow office. Job Duties • Translate business and product requirements into detailed technical designs and architectures., • Embrace new technologies and approaches, with a focus on customer value, responsive design, advanced data management, analytics, and the integration of AI/low-code solutions., • Support AI integration initiatives, including the adoption of agentic AI systems for autonomous workflows, generative AI for intelligent content creation, and machine learning models for predictive analytics and personalization., • Work closely with engineering and product teams to ensure solutions are well-architected, feasible, and aligned with business goals., • Develop prototypes, proof-of-concepts, and reference implementations to validate designs., • Apply architectural standards, design patterns, and coding practices to improve scalability, reliability, and maintainability., • Identify technical debt, propose improvements, and contribute to platform modernization efforts., • Stay current with emerging technologies and frameworks, bringing new ideas into solution discussions., • 5–8 years of experience in software engineering, with exposure to architectural design responsibilities., • Strong knowledge of .NET, C#, Python, SQL Server, and Cosmos DB., • Hands-on experience with AI technologies, including agentic AI systems, large language models (LLMs), generative AI, and machine learning frameworks., • Experience designing and implementing distributed systems, microservices, and event-driven architectures using modern frameworks and cloud platforms (e.g., AWS, Azure, GCP)., • Experience designing and building cloud-based SaaS applications., • Understanding of architectural patterns (e.g., microservices, event-driven design)., • Exposure to AI-powered development tools (e.g., GitHub Copilot, Calude Code, Cursor) is a plus., • Strong collaboration and communication skills with the ability to work across teams., • Demonstrated problem-solving and analytical abilities., • Bachelor’s degree in Computer Science, Engineering, or related field., • Relevant certifications (e.g., Azure Solutions Architect Associate, TOGAF Foundation) a plus.

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Buy-Side Equity Analyst Type: Contract Compensation: $105/hour Location: Remote Commitment: 20–30 hours/week Role Responsibilities • Conduct fundamental company and sector research with a focus on AI, software, and emerging technology., • Build and maintain DCF, comps, and operating models to assess valuation and growth potential., • Work with AI researchers to curate and label financial datasets ensuring data quality, accuracy, and analytical relevance., • Assist in preparing investment memos and pitch materials for internal and client presentations., • 2+ years of experience in equity research, investment analysis, or financial modeling., • Strong proficiency in Excel, Bloomberg/FactSet, and valuation techniques., • Excellent analytical and communication skills., • Familiarity with data labeling, AI/ML workflows, or Python/SQL., • Upload resume, • AI interview based on your resume

If you need support in completing the application or if you require a different format of this document, please get in touch with at or call TCS London Office number 02031552100 / +44 204 520 2575 with the subject line: “Application Support Request”. Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. • Be part of an exciting team where you will be challenged every day., • Work closely with the range of teams within the business to bring products to life. As a MES consultant you will be supporting one of the leading automotive customers as a part of the BAU IT team. You will be working on manufacturing applications like manufacturing execution system, configuring and deploying shop floor devices like scanners etc. Your responsibilities: • Development and configuring .NET based applications, • Support and work on the investigation for the issues reported at line side, • Configuration and troubleshooting of shop floor devices, • Supporting end users at line side when issues reported, • Participate in team discussions for service improvements Your Profile Essential skills/knowledge/experience: • Microsoft .NET – VB.Net,C#.Net, • Microsoft Excel- VBA, Writing Macros, • Basic RDBMS Skills (Mainly SQL Server-Writing SQL queries, stored procedures etc.), • SQL Server Reporting Services (SSRS), • Basic computer hardware knowledge, • Basic knowledge of Windows Server, • Analytical , reasoning and basic troubleshooting skills, • Support and configuration of Barcode printers, smart devices like tablets, • Having knowledge on Manufacturing domain, • Good verbal & written communication (English), • Team skills (Cross Functional & Cross Cultural), • Creative and open to innovate, • Good Interpersonal skills, • Pro-active and self-driven Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network. We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon. Diversity, Inclusion and Wellbeing Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998. We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role. As a Disability Confident Employer, we offer an interview to applicants with disabilities or long-term conditions who meet the minimum criteria for the role. Please email us at if you would like to opt in. If you are an applicant who needs any adjustments to the application process or interview, please contact us at with the subject line: “Adjustment Request” or call TCS London Office 02031552100 / +44 204 520 2575 to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process.

Data Manager - £60k + 15% bonus - London 2dpw Due to an internal promotion alongside building out new tech capabilities, La Fosse are recruiting a Data Manager for a leading UK household name. Working as part of a large and successful data team, you will be working with stakeholders at all levels to lead the change management process, and help to improve their data quality and BI systems for use across the business. You will be a confident communicator and an experienced data professional, with expertise with data ingestion and metadata. Foundations with SQL is highly desirable, and whilst they use Looker for their BI and Big Query and GCP, familiarity with any cloud is a nice to have. This is a great opportunity in a very busy company that have an excellent track record for internal development and employee retention, working with a manager who wants to avoid micromanagement and allow as much autonomy as possible. Please apply for full details. Must have full UK right to work without sponsorship.

Do you want to rebuild commercial credit models used by lenders across the UK? Have you worked hands-on with SME or corporate lending data end to end? Are you looking for a stable, high-impact analytics role with real ownership? Company overview This organisation is a leading UK credit data provider operating at the heart of the lending ecosystem. They work with banks, fintechs, and commercial lenders to improve credit decision-making through data, analytics, and risk products. The environment is collaborative, stable, and low-turnover, with long-term investment in analytics rather than hype-driven AI. The role This is a hybrid Data Scientist / Model Developer position within the commercial lending product team. You will rebuild and enhance core credit products used by lenders, owning models end to end and working with rich commercial datasets. Key responsibilities • Build and rebuild commercial credit scorecards and decision models, • Develop affordability, segmentation, and forecasting models, • Own models end to end from data exploration to deployment, • Work with commercial datasets such as company registrations and filings, • Contribute to portfolio analytics and ad-hoc analytical projects, • Support the evolution of legacy products into modern solutions Key details • Salary: up to £75k base + bonus and standard benefits, • Location: London preferred; Leeds or Nottingham considered, • Working model: Hybrid, 3 days onsite (Tues–Thurs), • Tech stack: Python, SQL, • Visa sponsorship: Not available Requirements • 3+ years’ experience in data science or credit risk modelling, • Proven experience with commercial or business lending data (SME/corporate), • Strong Python modelling capability; SQL for data access, • Background in credit scorecards, affordability, segmentation, forecasting, or NPV modelling, • STEM degree, • Hands-on, delivery-focused mindset Interested? Please apply below.

Job Title: Solutions Architect Location: Watford (preferred) or Horsham Salary: £55,000–£60,000 Contract: Permanent, full-time (3-month probation) Hybrid: After probation (3 days onsite, 2 days WFH, non-consecutive) We’re looking for a Solutions Architect to work with stakeholders across the business, understanding challenges and proposing technology solutions that support strategic objectives. You’ll evaluate options, define requirements, guide implementations, and support smooth transitions into service operation. Key Responsibilities: • Engage stakeholders to understand business needs and identify technology opportunities., • Work with Business Analysts, product owners, and ICT teams to shape requirements and design aligned solutions., • Research emerging technologies and maintain awareness of relevant roadmaps., • Support the creation of solution design standards, policies, and technical roadmaps., • Maintain strong relationships with internal teams and external suppliers. Skills & Experience: • Administration and optimisation of Azure SQL, Data Factory, Analysis Services, Power BI, Azure/Entra, Power Platform, Logic Apps, and SharePoint Online., • Strong communication, documentation, stakeholder management, and workshop facilitation skills., • Excellent time management, organisation, attention to detail, and ability to work independently., • Proactive mindset with strong IT security awareness., • Able to work both autonomously and collaboratively; flexible and adaptable.