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LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities and support artificial intelligence initiatives., LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets. Key Responsibilities: Building and scaling data pipelines, analytical infrastructure, and dashboard solutions that power customer success insights across multiple international markets. responsible for engineering high-quality data foundations, enabling automated analytics workflows, and implementing new tools and capabilities that enhance data accessibility and reliability across Customer Experience, Digital Experience, and Service Delivery. Hands-on, technically focused role at the intersection of data engineering and applied analytics. Qualification : • 8+ years of experience in Data Analytics, Data Engineering, or Applied Data Science, • Expert proficiency in SQL for complex queries, data modeling, and transformation logic, • Strong experience with data pipelines and orchestration tools, • Hands-on experience with big data ecosystems (e.g., Snowflake, Databricks, Spark, AWS/GCP/Azure data services), • Advanced skills with Tableau, Power BI, or Looker, including data source optimization and dashboard automation, • Proficiency in Python or R for scripting, data analysis, and automation, • Familiarity with APIs, RESTful data integration, and Git-based workflows, • Experience with A/B testing frameworks, statistical analysis, or experimentation design preferred, • Knowledge of Customer Success or Support Operations KPIs (e.g., resolution rate, contact deflection, AHT) preferred, • Strong problem-solving, collaboration, and communication skills with both technical and non-technical audiences, • Data Engineering & Pipeline Development: Design, build, and maintain ETL/ELT data pipelines to consolidate and transform customer success data from multiple international sources. Collaborate with Data Engineering and Platform teams to optimize data ingestion, model performance, and processing efficiency. Implement data validation, version control, and automated quality checks to ensure accuracy and reliability. Partner with engineering to establish data governance, metric definitions, and consistent schema designs across global regions., • Dashboard Development & Automation: Develop and maintain scalable, self-service dashboards and data products that empower teams to explore key metrics (e.g., tNPS, AHT, repeat contacts, digital adoption). Leverage tools such as Tableau or Qlik for visualization, ensuring optimal performance and intuitive design. Automate recurring reports and KPI tracking workflows, integrating them with modern BI and data orchestration tools., • Advanced Analytics & Insights: Conduct deep-dive analyses and root-cause investigations to identify patterns, trends, and optimization opportunities across global support operations. Use SQL, Python, or R to build analytical scripts, support experimentation frameworks, and perform ad-hoc statistical analyses. Partner with Data Science teams to productionize analytical models or pipelines supporting A/B testing and performance measurement., • Tooling & Capability Enablement: Evaluate, implement, and integrate new data tools, APIs, and cloud-native platforms to expand analytic capabilities. Champion best practices in data architecture, version control (Git), and continuous integration/deployment (CI/CD) for analytics workflows. Serve as a technical point of contact for data platform enhancements supporting International Customer Success analytics., • Communication & Collaboration: Translate complex analytical outputs into clear, actionable insights for technical and business partners. Collaborate cross-functionally with engineering, product, and operations to embed data-driven decision-making into strategy. Support a data-first culture through documentation, training, and process standardization. At LatentView Analytics, we value a diverse, inclusive workforce and provide equal employment opportunities for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual's race, colour, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.

Do you want to work on some of the most advanced technology in the world? Our client operates one of the most powerful private HPC clusters globally, with 10s of thousands of GPUs (including 1000s of A100s), 100s of petabytes of storage, and almost 10 petabytes of RAM. This cutting-edge infrastructure supports state-of-the-art Deep Learning models that process trillions of data points, driving trading algorithms that handle $300 billion across 80+ exchanges daily. They are one of the youngest, yet most innovative and successful algo trading firms on the planet. All with under 200 people. Their mission? To harness this world-class technology and the expertise of exceptional people like you to make financial markets more efficient and fairer for everyone. Technology is their heartbeat, but they don’t rely on off-the-shelf solutions—they build their own to ensure unparalleled scale, reliability, and resilience. This is where you come in… They are looking for an exceptional C++ Engineer to join their most critical engineering group across the whole firm. This elite team of engineers is responsible for developing all of their on-exchange proprietary trading technology—the single biggest driver of the firm’s revenue. As part of this team, you’ll be among the highest-paid engineers in the company, working on super low-level, close-to-the-metal projects that turn cutting-edge research ideas into reality. What can they offer you? • Build the unimaginable: Explore and work on a wide scope of projects that push the boundaries of technology. From creating an exabyte-scale distributed filesystem to custom compilers for massively parallel computation, your work will be challenging and complex. At every turn, it will contribute to the core trading stack and have a direct impact on the success of the firm., • Work with the Best: Collaborate with some of the most talented engineers, researchers, and quants in the world. You’ll be surrounded by colleagues who are at the top of their fields, pushing the boundaries of technology and finance every day., • Innovation & Impact: Work in a modern, young codebase with minimal legacy code and technical debt. You’ll have the freedom to choose the best technology for the job, allowing you to innovate and deliver at an unmatched scale. They also have a pretty epic office, amazing perks, a great culture and pay very well! What are they looking for? You’re the kind of engineer who knows what’s going on under the hood and thrives on working at the lowest levels of software engineering—borderline hardware. Your expertise includes some blend of modern C/C++ with the following: • Operating systems (Linux Kernels), • CPU architecture, • GPU programming, • Assembly Language, • Hardware knowledge (ASICs/FPGAs) Hit apply or drop me a note to find out more 😊

Machine Learning Specialist (Computer Vision) Profile: Safe Intelligence is on a mission to make AI safe and reliable for anyone to use. To help us succeed, our team is looking for Machine Learning Specialists, and we’re hoping it’s you! In this role, you’ll play a leading role in helping both customers with their ML validation challenges and in helping drive our product forward with insights on how to build the best validation solutions for high-stakes machine vision problems. The specific focus of this position is on ML-based computer vision in high-stakes applications in Aviation, Mobility, Robotics and Edge Devices, with particular emphasis on object detection and tracking. The role has customer & user-facing elements working on real world problems to help ML teams (R&D and Product within other organizations) improve the quality of their models, but also requires deep foundational knowledge on ML-based computer vision. In addition you will also work closely with the Safe Intelligence R&D team to help improve the company’s tools based on the challenges you see in your domains of expertise. This can range from inputs to product to working on the product itself. Previous contributions to state-of-the-art machine vision models including object detectors as used in applications is required. Knowledge of Machine Learning verification is not required, but a solid knowledge of existing testing practices, metrics, state-of-the-art training and validation methods is essential. We’re looking forward to having you on board! Responsibilities. As a Safe Intelligence Machine Learning Specialist - Computer Vision, you will: • Work closely with customers and end-users to understand their machine vision models and help them assess performance. Generally these will be R&D and product teams at customer organisations including leading teams in major companies in Aviation, Mobility, Robotics, and Edge Devices., • Implement prototypes, use cases, and solutions that apply the methods and tools developed at Safe Intelligence to address user-specific problems in deep validation and robustness, particularly in the field of machine vision for Aviation, Mobility, Robotics and Edge Devices., • Conduct experiments to evaluate various approaches and weigh their respective trade-offs., • Coordinate with the research and platform teams to guide future development based on use-case specific challenges., • Contribute to the development of an efficient and scalable package for performing verification and robust learning. Requirements. The technical requirements for the role are: • Previous Scientific and Engineering contributions to key problems in machine vision, such as object detection or tracking, typically evidenced via first-author papers in top computer vision conferences such as CVPR, ICCV, and ECCV., • In-depth experience in training, evaluating and deploying state-of-the-art Machine Vision models, including standard architectures such as Yolo, Vision Transformer architectures, and Eva., • Experience talking to stakeholders in these models to understand their requirements and guiding them through what is and is not possible or desirable in a model., • Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch., • Familiarity with best practice in Machine Learning workflows and MLOps tools., • Experience in the Aviation, Mobility, Edge Devices, and/or Robotics industries., • Passionate about helping engineering teams achieve their AI and ML goals., • Comfortable and energized in a fast-paced environment., • Excited about interacting with others and digging in to help solve their problems collaboratively., • Technical and constantly in a state of learning., • Able to communicate clearly and efficiently with a variety of audiences including developers, customers, researchers, partners and executives., • Fearless in getting "hands-on" with technology and execution., • Knowledgeable about modern software engineering processes., • Comfortable with ambiguity with a drive for clarity., • Collaborative with, and respectful of others on the team., • Honest, straightforward and caring about each other’s well being. Why Safe Intelligence is for you: We strongly believe AI can bring great benefits to individuals and society, but these will only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining us, you’ll be able to help advance the techniques, bring advanced technologies to AI/ML engineers worldwide and contribute to our shared mission to realise successful and reliable AI. Grow with us! If you think you can bring something special to this role, please apply even if you do not meet all listed criteria. Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important to us. We support ongoing learning for the whole team, ranging from individual mentorship to internal seminars and support for sector and technology-specific upskilling. Compensation & Benefits: Safe Intelligence provides competitive compensation based on role and candidate experience. We aim to be competitive with pay rates. Company benefits for all roles include: • Stock option benefits, • Mentoring, learning, and development allowance, • Regular team social and work events, • Flexible and generous holidays. We work hard and encourage everyone to take time off to recharge and enjoy other aspects of our lives. Equality and Inclusion: We are proud to be an equal-opportunity employer and work hard to create an environment where people of diverse backgrounds and life experiences can thrive. The team is highly collaborative and meritocratic. Great ideas come from everywhere, and we strive to make it easy for people to express themselves and be heard. Location & Office Culture: Safe Intelligence is based in London, UK, and we’re focused on building the initial team here. We highly value the ability to work flexibly and remotely at times, but we also have a strong belief that regular in-office interactions make for a much more fulfilling and productive work experience. Our company culture combines optimism for the future (hard problems can be solved with the right effort), speed of iteration (the best ideas come from many ideas tested), and rigour in what matters (correctness and precision are critical for safety). Come and join us to add your skills and passion to the future of Safe Artificial Intelligence! How to apply: Find us on LinkedIn and submit for this role. If you have any questions, please feel free to email . Not ticking every box on our list? If you don’t meet all the criteria but feel you have something special to bring to the table, we encourage you to apply anyway.

Job Overview We are seeking an experienced data center professional to develop and deliver advanced training programs in the data center and digital infrastructure domain. As a Data Center Learning Architect, you will support the creation as a subject matter expert and deliver strategic learning experiences to address knowledge and skill gaps in data center technologies. In this senior role, you will leverage your extensive data center expertise, analyzing technical knowledge gaps and crafting impactful training solutions to close them. You will collaborate closely with product teams, engineers, and subject matter experts to ensure training programs align with real-world needs and our product strategy. As the lead instructor, you will also deliver these programs to experienced engineering audiences, confidently fielding advanced questions and discussions. The ideal candidate is passionate about making complex technical learning simple and engaging, combining hands-on data center experience with exceptional subject matter knowledge. This role is based in the EMEA region (to accommodate global training across regions - North America, Asia Pacific etc); fluency in English is required, and proficiency in Spanish and Portuguese is a plus but not critical. Key Responsibilities • Identify Training Needs: Analyze organizational and customer needs to pinpoint knowledge gaps in data center and digital infrastructure expertise, and develop impactful training solutions to address those gaps, • Subject Matter Expertise : Engage with cross-functional stakeholders (product owners, learning design, engineering teams, SMEs) to establish training requirements and define clear learning objectives for new, existing courses and learning pathways. Work closely with our Learning Design teams to develop comprehensive course curricula and materials covering data center architecture, operations, and best practices, ensuring effective and relevant learning experiences., • Instruction & Delivery: Deliver high-quality, instructor-led training sessions (virtual and in-person) and hands-on workshops. Incorporate labs and real-world scenarios to reinforce learning (e.g., handling hands-on labs and guiding learners through real-life scenarios). Confidently address complex technical questions from experienced engineers during training sessions, providing expert explanations and solutions., • Subject Matter Collaboration: Work with subject matter experts to review training content and deliverables, ensuring technical accuracy and incorporating industry best practices., • Represent DCD>Academy across industry events where you will demo solutions and/or moderate panels of industry experts talking about a particular important subject for the data center / digital infrastructure market., • Continuous Improvement: Evaluate the effectiveness of training programs in partnership with customer success, product and learning design departments through data-driven insights to continuously refine curriculum and delivery methods, championing a culture of ongoing improvement in the learning program. Qualifications and Skills • Data Center Experience: Extensive experience in data center design and/or operations e.g., implementing redundant power, cooling and network systems to prevent outages, • Technical Expertise: Deep knowledge of data center infrastructure components and best practices - including power, cooling, backup power/generators, networking, and server hardware. Experience with HPC, mission-critical environments and uptime requirements is preferred., • Communication & Presentation: Excellent communication and presentation skills, with the ability to explain complex technical concepts in a clear, engaging manner. Able to adjust teaching style for varied audiences and facilitate interactive discussions., • Problem-Solving: Exceptional analytical and problem-solving skills – capable of troubleshooting complex technical issues and addressing challenging questions on the fly. A solid track record of resolving issues in live operational environments or during training Q&A is ideal., • Collaboration & Leadership: Strong stakeholder collaboration and project/program management abilities, with the interpersonal skills to work cross-functionally and drive initiatives to completion. Comfortable coordinating with product managers, engineers, and other teams to achieve training goals., • Education & Certification: Degree in Computer Science, Information Technology, Engineering, or a related field (required). Industry recognition is a plus., • Location: EMEA-based candidates strongly preferred (must be located in or willing to work within the Europe and North America time zones to accommodate global training schedules)., • Language: Fluency in English (written and spoken) is required. Proficiency in Spanish and/or Portuguese is a significant plus for broader regional engagement. Company Benefits: • Hybrid working scheme (mix of office and remote working - ability to travel to the Central London Office)., • Delivery of learning programmes will happen from a home/office or in the client’s chosen environment., • 25 days holiday entitlement, long service leave, and 1 gifted celebration day off per year, • Paid sick leave, life assurance, and income protection, • Access to a health cash-back plan, health and wellbeing service, and EAP, • Enhanced employer pension contribution and parental leave, • Regular socials and celebrations, • Opportunity for worldwide travel If you are passionate about data center technology and education, and you meet the above criteria, we encourage you to apply. This is a high-impact role where you will shape the skills of engineering teams and contribute to the success of cutting-edge digital infrastructure projects.

🎓 Graduate Software Developer / Quantitative Developer / Quantitative Researcher 📍 Location: London (Hybrid) 💷 Compensation: Up to £170,000 + Bonus + Benefits 🏢 Client: Prestigious Hedge Fund 🚀 Kickstart Your Career in Technology & Quantitative Finance Just graduated and ready to launch your career at the intersection of technology, mathematics, and finance? Join an elite global trading firm where innovation drives everything — no legacy systems, no bureaucracy, just cutting-edge tech and world-class mentorship. You’ll work on greenfield projects from day one, collaborating with exceptional engineers, quants, and researchers to build the systems and models shaping the future of global trading. 🔧 What You’ll Do • 🧠 Design and enhance advanced trading systems and analytics platforms, • 📊 Develop and implement your own quantitative models and research ideas, • 🤝 Collaborate closely with top technologists, quants, and portfolio managers, • 🚀 Learn fast, build fast: develop technical and analytical expertise in a performance-driven culture ✅ What You’ll Bring • 🎓 Degree in Computer Science, Mathematics, Physics, Engineering, or another STEM discipline, • 💻 Strong programming skills in Python, C++, Java, C#, or KDB+/Q, • 🔍 Analytical mindset with a passion for tackling complex, data-driven challenges, • ⚡ Curiosity, drive, and the ability to thrive in fast-paced, intellectually demanding environments 🌟 Why Join • 🌍 Greenfield Work: Contribute to high-impact projects from day one, • 🧠 Exceptional Mentorship: Learn from world-class engineers and quantitative researchers, • 🛠 Cutting-Edge Tech: Access the latest tools, infrastructure, and computing resources, • 📈 Fast Career Growth: A meritocratic culture that rewards innovation and initiative If you’re a motivated STEM graduate eager to make an immediate impact in high-performance technology or quantitative finance, we’d love to hear from you. 📧 Apply now or reach out directly:

This is a unique opportunity to work at the intersection of machine learning, advanced hardware design and high-performance data processing. Design and optimise novel machine learning architectures for high-dimensional and visual data. Strong background in machine learning algorithm development and

The UK is probably the world's biggest and most advanced global cuisine marketand an attractive job market for International Chefs and Hospitality Managers. As a reputed hospitality recruiter (and gov.

Lead AI Engineer – Next-Gen Predictive Intelligence Platform Startup / AI / Product / Financial Services Central London (2–3 days in office) | £100k-£120k base + strong equity A high-growth FinTech startup in London is building an AI-powered Predictive Intelligence Platform for corporates and financial institutions. Their technology connects market events, client data, and emerging opportunities through advanced agentic AI and RAG-based systems, helping financial institutions anticipate client needs before they arise. They have built a live MVP in record time, with enterprise client demos underway, and are now hiring a Lead AI Engineer to join as permanent hire number four in the founding technology team. This is a rare opportunity to join at the inflection point — a hands-on, high-ownership, high-impact role where you’ll shape the AI core of a company redefining predictive intelligence in finance. Role Overview Reporting directly to the CTO, you’ll lead the design and productionisation of the company’s core AI systems. You will architect, implement, evaluate, and scale RAG pipelines, agentic workflows, and LLM-based intelligence frameworks, driving real-world impact across financial markets. The role is approximately 80% hands-on and 20% strategic, covering Python engineering, system architecture, and model evaluation, while collaborating closely with product and domain experts. Key Responsibilities • Build and deploy RAG pipelines, agentic AI workflows, and LLM integration frameworks, • Own AI evaluation, guardrails, and observability systems, • Translate financial workflows into scalable AI capabilities, • Collaborate directly with the CTO and external development teams, • Help shape the AI roadmap and mentor future hires About You • Strong experience in LLM engineering, RAG systems, prompt orchestration, and agentic architectures, • Proven experience delivering ML/AI systems into production environments, • Excellent Python engineering and system design skills, • Familiarity with APIs, MLOps, and cloud deployment (AWS, GCP, or Azure), • Clear communicator, comfortable in fast-paced, early-stage environments, • STEM degree required; MSc in AI, Computer Science, or a related field preferred, • You have experience in financial services/regulated industry, • You have B2B experience What’s on Offer • £100k-£120k base salary plus meaningful equity, • Join at ground level (hire number four) with real ownership and influence, • Work with an exceptional founding team from top-tier consulting, technology, and finance backgrounds, • Hybrid working model: 2–3 days a week in Central London, • Visa sponsorship not available

We are part of a leading international group of fertility specialists, including CREATE Fertility, ABC IVF, Vitanova and IVI UK, providing world-class reproductive healthcare across the UK. Our clinics are at the forefront of innovation, offering Natural and Mild IVF meaning, gentler, safer approaches that use little to no fertility medication alongside a full range of advanced treatments, including IVF, IUI, ICSI and fertility preservation. Together, we are committed to evidence-based treatments, cutting-edge technology and personalised, patient-focused care helping to give every patient the best possible chance of success. Please note, this role sits within IVI RMA, covering the Northern Europe region ROLE PURPOSE The UK Nurse Director is a key member of the UK Leadership Team, serving as the professional nursing lead across all UK clinics. The UK Nurse Director is responsible for nursing governance, clinical quality, workforce leadership and the implementation of nursing protocols that ensure the highest standards of patient safety and care. The UK Nurse Director is accountable for all nursing processes and KPIs across the UK, including the delivery of safe, effective, patient-centred care and supporting commercially aligned service delivery. This includes line management, development, and performance oversight of nursing teams across the organisation, and close collaboration with Medical Affairs, Operations, HR, and Quality colleagues. KEY RESPONSIBILITIES Reporting to the UK Medical Director, serving as the national nursing lead and key partner to the UK clinical and operational leadership teams, the UK Nurse Director leads all nursing functions to drive consistent standards, regulatory compliance, and service excellence, including but not limited to the following: • Leadership of the national nursing team, including Lead Nurses, Nurse Managers, Fertility Nurses, and other roles introduced as the nursing structure evolves, • Collaboration with Deputy Medical Director and Medical Affairs colleagues on the development, revision, and updating of clinical and nursing protocols, pathways, and strategic projects, • Establishment, control and monitoring of nursing processes in line with Group policies to ensure effectiveness, safety and operational consistency, • Acting as the central representative for the nursing profession in the UK, coordinating communication flows, providing guidance and ensuring nursing alignment across all clinics, • Collaboration with HR and L&D to deliver continuous professional development, internal training and structured competency pathways for all nursing staff, • Leadership in the design, execution and improvement of both clinical and non-clinical processes to reduce patient safety risks and enhance quality of care, • Promotion of a strong safety culture, ensuring nursing teams understand and adhere to patient safety risk management principles, • Identification, documentation, reporting and management of patient safety risks, including implementing required actions instructed by Medical Affairs, • Ensuring full compliance with HFEA, NMC, BFS guidance and other relevant regulatory and professional bodies, • Oversight of clinical success metrics, supporting underperforming nurses through targeted training, one-to-one development, and audit monitoring, • Support for recruitment through CV screening, interviewing and workforce planning, • Collaboration with clinics on equipment training, capital expenditure requests and ensuring appropriate nursing resources are maintained, • Leadership of SOP development updates and implementation, ensuring clinics adopt and deliver all required standards, including training Lead Nurses in SOP compliance, • Active involvement in IVI Group projects, representing the UK in group-wide nursing and clinical initiatives, • Acting as the primary UK contact for data and information requests from Helix or Group functions, • Participation in leadership activities with CMO/COOs to support overall performance improvement across clinics, including involvement in performance or conduct management relating to nursing staff, • Quarterly audit of nursing performance data to support quality reviews and clinical improvement plans, • Contribution to patient pathway optimisation, service efficiency reviews and assessment of workforce capability, resource needs and equipment alignment, • Review of business cases for nursing-related equipment and capital expenditure requests with Finance, • Support for clinic-level complaint resolution, including resolving local complaints with Clinical Directors and managing serious issues with the Quality and Complaints Director, • Development and delivery of complaint-handling training to strengthen nursing team capability EXPERIENCE/PERSONAL SPECIFICATION • Registered Nurse (NMC) with no restrictions, • Significant leadership experience within a regulated healthcare environment, ideally within fertility or women’s health, • Minimum 5 years’ experience working within an IVF unit, • Demonstrable experience implementing clinical protocols, improving patient safety and managing clinical risks, • Proven track record in leading multi-site nursing teams and driving performance improvement, • Experience working with regulatory frameworks including HFEA, NMC, BFS and internal governance structures, • Competence in workforce development, training frameworks and clinical competency assessment, • Strong operational understanding with the ability to support commercial and service efficiency objectives CONFIDENTIALITY The post holder must maintain the confidentiality of information about patients, clients, staff and Create Health Clinics’ business in accordance with the HFEA Code of Practice, the Code of Confidentiality of Personal Health Data, the Korner Report on confidentiality, the Data Protection Act 1998 and Caldecott principals. CONSCIENTIOUS OBJECTION The Human Fertilisation and Embryology Act 1990 specifies that “No person who has a conscientious objection to participating in any activity governed by this Act shall be under any duty, however arising, to do so. In any legal proceedings the burden of proof of conscientious objection shall rest on the person claiming to rely on it.” HEALTH & SAFETY Employees must be aware of the responsibilities placed on them under the Health & Safety at Work Act (1974), to ensure that the agreed safety procedures are carried out to maintain a safe environment for employees and visitors. RISK ENGAGEMENT All staff have a responsibility to report all clinical and non-clinical accidents or incidents promptly and when requested to co-operate with any investigations undertaken. EQUAL OPPORTUNITY Create Health Clinic has adopted an Equal Opportunities Policy and all employees must be aware of their obligations to abide by the spirit and nature of the Policy to avoid direct, and indirect, discrimination. CONFLICT OF INTEREST Create Fertility and IVI RMA is responsible for ensuring that the service provided for patients in its care meet the highest standard. Equally, it is responsible for ensuring that staff do not benefit their family or friends.

Senior Systems Engineer- Advanced Radar and Surveillance. You’ll collaborate across multi-disciplinary teams (Software, Mechanical, Electrical) to ensure our advanced systems perform flawlessly in the field.

Senior Data Engineer London - hybrid - typically 4 days on site Finance Industry - new Data/ AI centre of excellence We’re hiring a Data Engineer to help design and scale cloud-native data infrastructure that powers analytics, automation, and AI across trading, portfolio operations, and internal business teams. This role sits close to decision-makers, with direct visibility into real commercial problems that need clean, reliable, well-modelled data. You’ll work on high-impact projects such as: • Building cloud-based data pipelines that power predictive models and advanced analytics, • Ingesting financial, operational, and third-party data from APIs into scalable storage layers, • Developing dbt transformations and ELT workflows for analytics and machine learning, • Orchestrating workloads using Airflow and modern CI/CD practices, • Supporting model execution environments, including Azure ML Studio (experience not required) What you’ll be doing • Designing and building scalable data pipelines in a modern Azure environment, • Developing modular, production-grade ELT workflows (dbt, Airflow, SQL, Python), • Modelling data for analytics, BI, forecasting, and machine learning use cases, • Optimising data architectures for performance, cost, and reliability, • Working closely with data scientists, software engineers, and investment teams, • Troubleshooting and improving existing data processes and infrastructure, • Maintaining high standards around data governance, quality, and documentation What we’re looking for • Solid grounding in Python for data engineering and automation, • Strong SQL and experience with modern cloud warehouses (Snowflake, BigQuery, Redshift, Azure Synapse etc.), • Hands-on experience with workflow orchestration tools, • Comfortable working with dbt or similar transformation frameworks, • Experience in Azure is preferred, but strong engineers from AWS/GCP are considered, • Understanding of infrastructure-as-code (Terraform, Pulumi or similar), • Ability to simplify and communicate complex technical ideas, • Curiosity, ownership, and comfort working in a fast-moving environment Why this role is different You’ll join an elite, high-autonomy engineering group that acts as an internal technical strike team. The work is varied, senior-facing, and commercially meaningful - with the chance to shape how a major global organisation uses data and AI. If you want to work with a modern stack, solve real business problems, and build production systems that matter, we’d love to speak.

We are seeking an accomplished and visionary Head of Data & AI to lead the firm’s data strategy, data operations, and AI enablement initiatives. As a 500-person alternative investment manager with diverse strategies, global clients, and increasingly complex data needs, we require a leader who can architect a modern, scalable, and business-aligned data and AI capability. This role will be responsible for building the data operating model, driving adoption of advanced analytics and AI across investment and business functions, and ensuring the firm maximizes the value of its data assets while maintaining robust governance and operational excellence. Key Responsibilities 1. Data Strategy • Define and own the firm-wide data strategy, ensuring alignment with investment, risk, distribution, and operational priorities., • Establish a clear vision for the firm’s data architecture, including master data management, data quality frameworks, data cataloguing, lineage, and metadata management., • Develop and enforce a comprehensive data governance framework in collaboration with Technology, Compliance, Risk, and business stakeholders., • Champion data as a strategic asset, driving cultural and behavioural change across the organisation. 2. Data Operations & Platform Ownership • Lead the design, implementation, and continuous improvement of the enterprise data platform, ensuring high availability, reliability, and scalability., • Oversee data ingestion, integration, transformation, and distribution processes supporting investment research, portfolio management, risk analytics, reporting, and client solutions., • Build and manage a high-performing data operations function, including data engineering, data quality and stewardship, and business-facing data services., • Introduce KPIs and operational metrics to ensure data quality, timeliness, and service excellence. 3. Target Operating Model (TOM) • Architect and implement a target operating model for Data & AI, covering organisational structure, roles and responsibilities, services, workflows, and engagement models., • Define service tiers, operating principles, and delivery mechanisms for data and analytics capabilities across front, middle, and back-office functions., • Drive adoption of the TOM across the firm, ensuring consistency, clarity, and measurable operational improvements. 4. AI Strategy & Enablement • Develop and lead the firm’s AI strategy, identifying high-impact use cases across investment research, deal sourcing, risk modelling, client engagement, and operational automation., • Partner with investment teams, quant groups, and business stakeholders to deliver AI-powered tools, workflows, and insights., • Establish governance, standards, and guardrails for responsible AI, ensuring compliance, transparency, and model integrity., • Build and scale a central AI enablement function, including ML engineering, model operations (MLOps), and AI product management. 5. Leadership & Stakeholder Engagement • Serve as the senior advocate for data and AI innovation, influencing executive-level decision making., • Manage and develop a multi-disciplinary team, fostering a culture of excellence, experimentation, and delivery., • Build strong partnerships with technology, investment, risk, and distribution leaders to ensure solutions are business-driven and outcomes-oriented. Qualifications • 10+ years of experience leading data and/or AI functions within financial services, ideally alternative investments or asset management., • Proven experience designing enterprise data strategies and operating models., • Strong track record delivering AI and advanced analytics solutions in production environments., • Deep knowledge of cloud data platforms, data engineering, governance, and MLOps.

As a key member of the Murex Support Team, you will provide expert-level support for the Murex platform, ensuring stability, performance, and rapid issue resolution for business-critical operations. Deep, hands-on knowledge of Murex is essential, as you will be the go-to specialist for troubleshooting, incident management, and user support. Key Responsibilities • Provide advanced support for all Murex-related incidents, service requests, and user queries, ensuring timely resolution within agreed SLAs., • Troubleshoot and resolve complex technical and functional issues across Murex modules (Front Office, Risk, Back Office, Datamart, etc.)., • Monitor system health, perform root cause analysis, and proactively identify potential issues to minimize downtime., • Collaborate closely with business users (trading, sales, risk, operations) to understand and address their support needs., • Liaise with upstream/downstream IT teams and vendors to escalate and resolve critical incidents., • Maintain and update support documentation, knowledge bases, and runbooks., • Participate in environment management (refreshes, patching, configuration) as required for support continuity., • Support release management by validating and testing new Murex releases or patches from a support perspective., • Contribute to continuous improvement of support processes, automation, and monitoring tools., • Nimble to work on projects & BAU Support issues, as part of a team & individual contributor, • A strong sense of urgency to ensure key issues are managed and fixed within defined SLA’s, • Manage / contribute the Issue tracker, ensure the board is up to date and ensure along with team all issues are true to status, • Strong, Clear and precise communication (Oral & Written) is a key requirement for the role. Urgency on business related issues and manage business expectations. Main Areas: • Support the Global Markets, Commodities business in Murex., • Market data (real time contribution, end of day,) for assets, • Risk reporting (strike maps, scenario reporting), • Reporting for support function (deal valuation, market data) The team will also ensure support and maintenance of all its development and work within an agile framework (ceremonies – Stand up’s, prioritization, internal support catch-up) Add value by: • Helping out with, • User needs collection and anticipation., • Analysis of these needs and definition of the required specifications., • Multiple solutions proposal: where applicable, provide the sponsors with studies comparing the different options and solutions to facilitate strategic decision, • making., • Implementation and delivery of retained solutions., • Support and documentation., • Bug tracking, continuous software evolution., • Make recommendations regarding architecture, technologies, and IT solutions., • Analysis, problem solving and escalation., • Carry out training and skills assessments at regular intervals. Follow the branch compliance rules Propose new projects to the business, take lead of support topic, covering notably: • Innovative solutions, • New business, activities, and products, • Opportunities for efficiency improvements, • Operational risk reduction Reporting: • Timely progress updates to direct management as deemed necessary. Key Skills — Mandatory • At least 8-10 years’ experience of working with Murex, in a Support role with a BA background, with deep expertise in troubleshooting and resolving issues., • Experience of implementing and supporting Murex v3.1 with Regards to Front Office, lower version of Murex is a strict no go., • Experience in Implementing both Linear and non-Linear Products in Murex, • Ability to build out multiple strategies / payoff’s as per business needs, • Simulations, • RM (Risk Matrix), • Pricing, • Market Data, • Pre-trade – Debug pricing related issues for FO, • Workflows – Exchange exclusive workflows – integrate various exchanges with Murex, • CICD is a must have Note: above list is not exhaustive, but are Must have’s: • Experience supporting multiple asset classes (Commodities, FX, IRD, Credit, etc.) in Murex., • Expertise in Capital Markets across different Asset classes and Front to back knowledge of the trade lifecycle, including modelling these in Murex, • Experience in binary version updates, • Ability to do a risk assessment on cross asset impact for releases e.g. FX vs Commodities module, • Past experience / knowledge of integrating flex pricing models, ability to debug and get to the root of the problem, working on defining a solution to fix the underlying problem, • Strong experience around static data setup in Murex including generators, curve setup, Datamart etc., • Experience with Livebook, PVLAR, Real time pricing, Risk Matrix is a must. RBPnL would be an advantage, • Past experience of release validations to ensure the releases into production have been verified, • Multitasking and ability to work on multiple issues within Murex, • Experience with incident, problem, and change management in a production support environment., • Think Big and out of the box, propose strategic solutions, critically analyse the existing setup and propose any improvements that add value., • Knowledge of events setup and lifecycle in Murex, • Ability to debug various issues that are encountered Personal skills - required: • Strong analytical and problem-solving skills., • Calm under pressure, with a sense of urgency for critical incidents., • Excellent communicator, able to explain technical issues to non-technical users., • Team player, willing to share knowledge and support colleagues., • Proactive, detail-oriented, and committed to continuous improvement., • Ability to pick up and process information independently and quickly., • Strong interest in the global markets business, • Fast-learner and pro-active approach, • Effective communication skills (business-oriented and technical-oriented), • Ability to work with geographically distributed stakeholders., • Be a Team player, help the junior members of the team and work as a cohesive unit., • Build a strong relationship with peers in Head Office and other European locations., • Work with the wider GMR teams in London to ensure seamless integration., • Take ownership and at times be a conduit / coordinator for issues that are dependent on external teams/factors, • Ability to take the lead on issues with the vendor and work constructively to resolve the issues in a timely fashion, • Understand when a situation needs us to be proactive or reactive., • Liaise with users directly, regularly follow up on issues and provide regular updates and timeliness. Additional Skills - required: • Strong experience with Agile methodologies, Sprints, Kanban Board, Sprints review, Dev Ops solution, • Experience in liaising with Senior Management – Head of Desks, Business Managers, Senior Front Office users, including stakeholder management, • Effective communication skills (business-oriented and technical-oriented), • Previous experience in working with Banks and FI’s., • Ability to work in a demanding environment with strong business exposure., • Ability to work as a team and individually with key information being fed back to the team

We are looking for a Senior Storage Administrator to join our global support team. In this role, you will handle complex technical incidents, perform root-cause analysis, and help maintain our security and operational excellence. Your Key Responsibilities: • Provide advanced technical support and troubleshooting for complex HPE Storage incidents., • Perform root cause analysis (RCA) and implement permanent solutions., • Mentor and coach junior analysts and freshers., • Update and manage the team’s knowledge base., • Ensure high customer satisfaction by resolving tickets within SLA. What You Bring: • Senior-level experience in Data Center Storage, specifically with HPE Storage solutions., • Proven ability in troubleshooting, RCA, and solving escalated technical issues., • Experience in coaching team members and improving processes., • Strong focus on customer experience, security, and operational standards. Why Apply? • Impactful role at the heart of critical infrastructure operations., • Opportunity to grow your expertise while mentoring others., • Collaborative, supportive team environment.

Contract Data Engineer – Central London – Outside IR35 – Up to £600/day We’re partnering with a major energy trading player that’s in the middle of a multi-year digital transformation. They’re rebuilding their data stack from the ground up and need a sharp contract Data Engineer who can get hands-on fast and push things forward without hand-holding. Three days a week on site in Central London. You’ll be dropped straight into Stage One of a large Digitalisation Program, working in a team that’s building next-gen data infrastructure, pipelines, and AI/ML enablement tooling. If you’re the type who wants to shape real industrial systems rather than churn out toy projects, this is the right environment. What you’ll be doing • Building, testing, and maintaining data pipelines across ETL and ELT workloads., • Helping users navigate the big data platform, ingest new data, and debug issues., • Tackling complex integration challenges across structured, semi-structured, and unstructured sources., • Pre-processing, cleansing, and delivering high-quality data for advanced analytics and modelling., • Working closely with data scientists to help scale ML and AI models., • Developing BI dashboards and optimising pipelines and frameworks for performance., • Owning requirements, design, build, and maintenance of end-to-end data solutions., • Using CI/CD tooling like Azure DevOps or Jenkins and following solid engineering practices. What you need to bring • Strong hands-on experience with Python (including Pandas) and PySpark or similar distributed frameworks., • Confident SQL across TSQL, ANSI SQL, Spark SQL., • Real experience with cloud data services (Azure Data Factory, Databricks, Synapse, or equivalents on AWS/GCP)., • Ability to dive deep into datasets, understand structure, and communicate insights clearly., • Experience working with structured and unstructured data at scale., • Bonus points for data lakes, open-source data tooling, data warehousing, hybrid cloud, or experience in commodities/trading. Contract details • Outside IR35, • Up to £600/day, • 2-33 days a week onsite in Central London, • Start ASAP If you want to work on a genuinely forward-looking data program with real commercial impact, this is worth your time.

OT Industrial Engineer Cyber Security Consultant Cyber Security Consultant (Junior to Senior Band) OT and Critical Infrastructure No sponsorship allowed. Overview A consultancy focused on cyber resilience for operational technology and critical national infrastructure is expanding its team. This role suits individuals from junior through to senior level who are ready to work with high-stakes clients, strengthen security across IT, OT and converged environments and deliver tangible improvements in risk posture. Responsibilities Responsibilities scale with experience. • Identify client cyber risks and support the definition of practical, sustainable security solutions., • Contribute to or lead cyber risk assessments across IT, OT and CNI systems., • Develop or support the development of security strategies, policies and governance frameworks., • Deliver or assist with oversight and assurance programmes identifying and mitigating cyber risks., • Support or manage project delivery, including planning, documentation, stakeholder engagement and commercials., • Assist with or drive proposal development, including engagement scoping and estimation., • Support knowledge development, research and continuous improvement across the practice., • Mentor junior colleagues or, at senior levels, recruit and develop team members. Requirements Expectations increase with seniority. • Degree in Engineering, Computer Science, Information Security or equivalent discipline., • Interest in or possession of professional cyber qualifications such as NCSC ACP, CISSP, CISM, CCSP, CWSP, CRISC or CISA., • Foundational to advanced experience in cybersecurity consulting or within an organisation operating OT or critical infrastructure., • Understanding of ICS or OT technologies and relevant security standards, including NIST, ISO 27001 and IEC 62443., • Strong analytical and communication skills, with confidence engaging clients at the appropriate level., • For senior candidates: proven delivery leadership and experience developing others.

This is an exciting time to join a team to help pioneer both customer's and own an AI adoption journey. Not only will you be directly making a huge impact through the solutions you develop, you’ll be doing it for an organisation who makes a huge impact to the security of the UK. Core Duties • Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications, • Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements, • Transition validated experiments into production-ready solutions, working closely with other engineers on deployment and monitoring, • Build and optimise ML pipelines using AWS services and experiment tracking tools, • Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring, • Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails, • Design feature engineering approaches and contribute to feature store development, • Support production models through monitoring, performance analysis, and continuous improvement, • Apply responsible AI practices, including model explainability and fairness assessment, • Present experiment findings and production outcomes to stakeholders, articulating operational and strategic value, • Mentor junior colleagues and share learnings across the team About You You will have experience in many of the following: • Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow, • Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments, • Strong experiment design skills: hypothesis formulation, A/B testing methodology, and statistical evaluation, • Proven track record transitioning models from experimentation to production with appropriate governance and quality controls, • Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control), • Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures It Would Be Great If You Also Had Experience In Some Of These, But If Not We’ll Help You With Them • Experience with advanced LLM techniques: agents, tool use, and agentic workflows, • Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications, • Experience with feature stores (Feast, AWS Feature Store), • Experience with containerisation (Docker) and orchestration (Kubernetes, ECS), • Familiarity with Infrastructure as Code (Terraform, CloudFormation), • Experience with data processing frameworks (Spark, Dask) for large-scale workloads, • Understanding of data governance and compliance frameworks

Principal Engineer | Defence Technology Start-Up Hybrid | 4 days on-site Join a cutting-edge defence start-up led by former Palantir founders, building mission-critical systems that directly support national security. Backed by a world-class technical team, this is an opportunity to take a senior role in shaping advanced platforms with real operational impact. You’ll lead on architecture, guide technical decisions, and work closely with product and leadership to deliver robust, high-performance systems. While we use Rust at the core, we welcome engineers from any modern background who can demonstrate strong system design skills and a track record of delivering complex software. What you’ll be doing: • Owning architectural decisions and driving technical strategy, • Delivering high-assurance, scalable systems for defence applications, • Mentoring engineers and uplifting overall engineering standards, • Working hands-on with a team of exceptional builders in a fast-paced environment What we’re looking for: • Deep engineering experience across distributed or performance-critical systems, • Strong design instincts and the ability to lead technical direction, • Comfortable working in a hybrid setup with significant on-site collaboration, • Ability to adapt quickly, solve hard problems, and operate with high autonomy If you want to work alongside some of the brightest minds in defence tech and have significant influence from day one, this role is built for you. Let’s discuss.

AI Engineer London Hybrid, 2 days a week OB have partnered with a pioneering AI research company in London that are pushing the boundaries of applied machine learning. They're seeking a skilled AI Engineer to help drive the next wave of intelligent system development, from rapid research prototypes to production-grade features. The Role • Develop and experiment with advanced techniques in context optimisation, model enhancement, and workflow automation, enabling everything from UI generation to code synthesis., • Run focused A/B tests, evaluations, and user-driven experiments to elevate generation accuracy, consistency, and overall performance., • Bridge research and production by transforming cutting-edge ideas into stable, scalable systems that deliver real impact. What You'll Bring • Hands-on experience working with LLMs (open or closed source)., • Strong programming skills in Python and JavaScript/TypeScript., • Background in applied ML, research engineering, or a closely related domain. Apply below for more information. AI Engineer | London | Hybrid

A leading digital, cyber and AI consultancy supporting UK government and defence customers is looking for multiple Machine Learning Engineers to join its National Security team. These roles offer the opportunity to work on high-impact, real-world AI and ML solutions that directly support national security objectives, using modern cloud-based platforms and production-grade MLOps practices. You’ll work across the full machine learning lifecycle — from rapid experimentation and hypothesis testing through to deploying and supporting robust production systems. Collaborating closely with data scientists, software engineers and senior stakeholders, you’ll help bridge the gap between research and real operational capability in highly regulated environments. What’s on Offer • £45,000 – £65,000 salary, depending on experience, • Hybrid working model, • London based role, • Comprehensive benefits package, • Security clearance bonus, • Strong career progression pathways, • Excellent training, upskilling and development opportunities What You Need • Hands-on experience developing and deploying machine learning models in Python using frameworks such as scikit-learn, XGBoost, PyTorch or TensorFlow, • Experience designing and delivering ML solutions across the full lifecycle, from experimentation to production, • Strong knowledge of AWS-based ML services (e.g. SageMaker, Lambda, S3) in production environments, • Experience with experiment design, hypothesis testing, A/B testing and statistical evaluation, • Proven ability to transition validated models into production-ready systems with appropriate governance, • Exposure to LLM / Generative AI applications, including prompt engineering and RAG architectures, • Ability to communicate complex technical concepts clearly to non-technical stakeholders, • Experience working in cross-functional teams to deliver production solutions, • Eligibility and willingness to obtain UK Security Clearance, • Experience with advanced LLM techniques, containerisation, feature stores, vector databases or regulated industries is advantageous but not essential. .

Job Title: Creative Automation & Templatization Specialist Location: London (Hybrid) Contract Purpose The Creative Automation & Templatization Specialist is responsible for driving efficiency and consistency in global marketing asset production by designing scalable templates and implementing automation solutions. This role ensures seamless integration across creative workflows (DAM and Workfront tools), leverages advanced tools including generative AI, and supports cross-functional collaboration to optimise asset creation, localisation, and distribution. Job Description: • Design and maintain scalable templates for global marketing assets (static/animated, multiple sizes, product variations) using Adobe Stack and Creative Cloud Libraries., • Integrate templates seamlessly into marketing workflows, ensuring compatibility with tools such as Adobe Workfront and other process automation systems., • Manage asset distribution and synchronisation, coordinating with QC, transcreation, and localisation teams, as well as external agencies., • Leverage generative AI tools (e.g., Adobe Firefly API services, Google, • Vertex AI, etc.) to enhance content creation and drive efficiency in asset production., • Collaborate with cross-functional teams to maintain brand consistency and optimise creative processes across markets., • Stay ahead of industry trends, continuously exploring new tools and best practices to improve automation and workflow efficiency. Key Skills & Experience • Expertise in Adobe Creative Suite (including Creative Cloud Libraries, Photoshop, Adobe Express) and familiarity with Adobe Firefly for generative AI applications., • Background in creative agency environments, with hands-on experience in creative production and marketing asset development., • Proven experience in template design and asset management, ensuring scalability and consistency across global marketing campaigns., • Strong understanding of workflow integration tools (e.g., Adobe Workfront) and process automation best practices., • Knowledge of localisation and transcreation workflows, including coordination with external agencies and internal stakeholders., • Ability to collaborate effectively with cross-functional teams to maintain brand integrity and optimise creative processes., • Continuous learning mindset, staying updated on emerging technologies, automation trends, and industry best practices.

Rust Developer | Crypto/Blockchain Trading Technology Location: London, UK - 5 days a week in office required Package: Base + Profit Sharing Bonus + Equity We are working closely with a profitable, venture backed crypto tech company based in London, who specialise in the development of trading infrastructure and services within the decentralised finance sector. Our mission is to foster an open, transparent financial system through their contributions to the Ethereum blockchain and beyond. They seek a Software Engineer with a strong background in STEM and a passion for software development. While experience with low latency systems, algorithmic trading, or MEV is advantageous, a strong interest in these areas is essential. Their culture is fast-paced, collaborative, and encourages ownership from day one - including equity! You'll play a crucial role in developing their core infrastructure, working closely with the founders and having significant autonomy and impact. Responsibilities: • Enhance their low-latency trading infrastructure, • Optimise core engine performance and network infrastructure, • Develop new features focused on transaction efficiency and advanced trading systems Skills: • Proficient in Rust (or low-latency C++, looking for Rust exposure), • Experience with latency-sensitive system development, multi-threaded coding, and scalable distributed systems), • Familiarity with concurrency, OOP, database systems, and basic SQL, • Knowledge of Linux/Unix, AWS, Git, Docker, EVM, and blockchain fundamentals Apply now!

Data Architect x2 days per month in the Surrey HQ (hybrid with strong flexibility) This organisation is undergoing a continued large-scale transformation, placing modern data strategy at the heart of its evolution. With a growing portfolio of advanced data products and AI initiatives, they are investing in scalable cloud-native architecture that enables powerful analytics and intelligent services across the entire business. This is an opportunity to play a central role in shaping their long-term data ecosystem, with hands-on ownership of model design, platform optimisation, and data governance standards within an extremely established data science, analytics engineering, ai engineering, and data platform engineering team. What You’ll Be Doing • Design scalable data platforms using modern architecture principles across development, staging, and production environments, • Lead the modelling of business-critical domains into dimensional structures that support BI, regulatory reporting, and ML pipelines, • Integrate data from diverse internal and external sources, including cloud services, APIs, and third-party systems, • Define and maintain semantic layers using tools such as DBT and Delta Live Tables, ensuring consistency across dashboards and analytics tools, • Enable data products that support AI and GenAI use cases, including vector-ready and model-optimised datasets, • Develop and maintain secure data access controls, including RBAC, token policies, and anonymisation mechanisms, • Support batch and real-time data flows using tools like Airflow, Kafka, Spark, and Terraform, • Monitor cloud platform performance and implement cost-control measures while improving reliability, • Collaborate with product, engineering, and governance teams to define standards, lead architectural discussions, and contribute to strategic decisions, • Write and review architectural documentation and technical design guidance What They’re Looking For • Strong experience in data architecture, including designing data models from scratch and implementing schemas like star, snowflake, and canonical enterprise structures, • A track record of working across domains such as pricing, claims, fraud, policy, and quote data, • High proficiency in SQL and cloud-native tools such as Databricks, Snowflake, and AWS environments, • Hands-on experience delivering semantic layers using DBT and building analytics-friendly data structures, • Experience working with streaming and batch pipelines and exposure to the tools that support them, • Confidence designing infrastructure to support modern data science workflows, including GenAI, RAG pipelines, and ML inference, • Good understanding of data privacy, retention, and access control frameworks in regulated environments, • A collaborative mindset, with experience working across business and technical teams to deliver scalable, reusable data components If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via (feel free to include a CV for review).

Penetration Tester Permanent – up to £85k per annum London based – hybrid working – 2-3 days office based (negotiable) Must have CREST CRT Role Overview: We are seeking a highly skilled and experienced Offensive Security Consultant with a strong focus understanding on threat intelligence and attack methods. The ideal candidate will be responsible for managing and conducting advanced penetration testing engagements, leveraging threat intelligence to simulate real-world attacks across a variety of environments, including OT, IT, web applications, cloud infrastructure, and APIs. This role requires a deep understanding of adversarial approaches, excellent communication skills, and the ability to provide strategic and actionable recommendations to significantly enhance our clients' security posture. Responsibilities: • Lead and manage the full lifecycle of complex penetration testing engagements, applying a strong threat intelligence-led approach., • Execute advanced penetration tests across a broad range of environments (applications, infrastructure, web, APIs, O365, Azure, AWS, OT), directly applying your knowledge of current threat landscapes and attacker TTPs., • Develop and maintain sophisticated test plans, execution plans, and targeted use cases directly informed by in-depth threat intelligence analysis., • Identify and prioritize OT and IT assets, services, and systems based on their criticality and potential exposure to identified threats., • Strategically prioritize, plan, and schedule penetration testing engagements based on comprehensive threat assessments and client-specific requirements., • Produce high-quality, detailed reports that clearly articulate technical findings, potential business impact, and strategic, actionable remediation recommendations for both technical and non-technical stakeholders., • Clearly and effectively communicate complex security concepts, adversarial tactics, and critical threat intelligence insights to diverse audiences., • Collaborate closely with client IT and cybersecurity teams to drive the enhancement of security protocols and ensure effective, threat-informed remediation of identified vulnerabilities., • Track the progress of remediation efforts and provide regular, concise updates to stakeholders, highlighting the reduction of identified threats., • Conduct proactive security research and contribute to the creation of technical content on emerging threats, advanced attack techniques, and threat intelligence-led testing methodologies., • Contribute to strengthening security monitoring (blue team) capabilities by providing valuable insights into offensive techniques and adversarial behaviours to enhance detection and response effectiveness., • Drive the patching regime for identified vulnerabilities, prioritizing remediation efforts based on threat intelligence and the potential for exploitation by advanced threat actors. Skills and Qualifications: • Minimum of 5 years of demonstrable professional experience in penetration testing, with a strong emphasis on understanding, emulating, and leveraging adversarial tactics and threat intelligence., • Comprehensive understanding of OT and IT asset profiles, technologies, and security best practice principles, with a proven ability to contextualize them within the current threat landscape., • In-depth knowledge of network protocols, cryptography, security vulnerabilities, and common attack vectors employed by sophisticated threat actors., • Demonstrated proficiency in utilizing a wide range of penetration testing tools and methodologies, including those specifically used for threat intelligence analysis and application., • Proven experience in scoping and executing complex penetration tests, particularly those directly informed and driven by threat intelligence., • Exceptional written and verbal communication skills, with the ability to articulate complex technical findings and nuanced threat intelligence insights clearly and concisely to diverse audiences., • Strong organizational and time management skills, with a proven ability to effectively manage and prioritize multiple concurrent engagements., • Current CREST CRT certification or higher is essential. Desirable Skills: • Experience with Breach Attack Simulation tools and methodologies., • Experience in Vulnerability Management processes and integrating threat intelligence., • Understanding of Risk Management frameworks and how threat intelligence informs risk assessments., • Hands-on experience with security reviews of AWS, Azure, and GCP environments, incorporating cloud-specific threats., • Experience with ISO 27001 auditing/implementation, understanding the role of threat intelligence in compliance., • Other advanced cybersecurity certifications such as CISM, CISSP, ECSA, CREST CCT.

SENIOR MAPPING ENGINEER – PADDINGTON (HYBRID) KEY POINTS • Hybrid role based in Paddington, London, • Salary up to £110,000 depending on experience, • Senior-level position focused on large-scale, high-accuracy mapping, • Key role within an advanced autonomy and robotics engineering team ABOUT THE CLIENT Due to continued growth, we’re supporting a highly technical organisation operating at the forefront of autonomous and robotic systems. The business is known for developing production-grade autonomy solutions and investing heavily in high-quality engineering across perception, mapping, and navigation. THE BENEFITS • Hybrid working with flexibility, • Salary up to £110k with a competitive overall package, • Opportunity to influence the technical roadmap of a core autonomy platform, • Collaborative, engineering-led environment with long-term progression THE SENIOR MAPPING ENGINEER ROLE: As a Senior Mapping Engineer, you’ll take ownership of large-scale, high-accuracy mapping solutions within an edge autonomy stack. The role focuses on maintaining and evolving existing mapping pipelines while extending capability across vision-based and LiDAR-based approaches. You’ll work closely with perception, localisation, and navigation teams to ensure maps are accurate, scalable, and tightly integrated into real-world autonomous deployments. As a senior member of the team, you’ll help define best practices, guide technical direction, and mentor others. SENIOR MAPPING ENGINEER ESSENTIAL SKILLS • Strong experience building mapping systems for autonomous or robotic platforms, • Expertise in LiDAR and point cloud processing (PCL, Open3D, or similar), • Experience with vision-based mapping and SLAM techniques, • Proven background in multi-sensor fusion (LiDAR, cameras, GNSS/INS, odometry), • Strong C++ skills with hands-on experience using ROS2, • Solid understanding of geometry, estimation, optimisation, and coordinate transforms (TF2) TO BE CONSIDERED: Please either apply through this advert or email me directly via . For further information please call me on 0203 763 3888 / 07704 152 638. By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Mapping, Autonomous Systems, Robotics, LiDAR, Point Clouds, Computer Vision, SLAM, Sensor Fusion, ROS2, C++, Large-Scale Mapping, Perception, Localisation

Role Overview: BW: Workplace Experts, a leading fit-out construction company based in Central London, is seeking a Data & Analytics Engineer to continue our journey towards leading the construction industry with data driven intelligent decisions. You will own the architecture, governance, and optimisation of BW’s Microsoft Fabric environment, design and deliver enterprise grade Power BI dashboards, and play a pivotal role in developing the future of data across the business. This is a hands on, high impact position suited to someone ready to lead technical direction, mentor others, and help shape a modern, data driven culture. Key Responsibilities: • Architect, maintain, and optimise BW’s Microsoft Fabric ecosystem, ensuring scalable, efficient data workflows across the business., • Design and deliver insightful, interactive Power BI dashboards and analytical models to drive decision-making., • Translate complex business requirements into reliable, well-documented data structures and reporting frameworks., • Implement data governance and quality controls, ensuring accuracy, consistency, and compliance across all systems., • Partner with IT, operations, and commercial teams to drive adoption of data-driven decision-making., • Mentor and support junior members of the analytics team, fostering technical excellence and collaboration., • Champion best practices in data architecture, visualisation, and automation. Essential Skills: • Proven experience architecting and supporting solutions within Microsoft Fabric (including Data Factory, Synapse, and OneLake)., • Advanced proficiency in Power BI, including DAX, Power Query (M), and data modelling., • Deep understanding of data warehousing, ETL, and data lakehouse concepts., • Strong working knowledge of Databricks, including Delta Lake and notebooks., • Strong interpersonal skills with the ability to influence and communicate complex data topics clearly., • Excellent analytical, organisational, and problem-solving abilities., • Experience leading or mentoring technical peers. Bonus Skills and Experience: • Proficiency in Microsoft SQL Server, including stored procedures, triggers, and performance tuning., • Familiarity with Supabase/Postgres or similar cloud database technologies., • Experience with low-code and integration tools such as Power Apps, Power Automate (Microsoft Flow), Workato, Make (Integromat), or n8n., • Experience with Azure DevOps or CI/CD data pipelines.

Senior AI Engineer In office ~x2 days a week This is a newly created opportunity to join a well-established data organisation that is investing in advanced AI capabilities to enhance data intelligence, automate research processes, and bring new value to their users. The team is building out scalable AI systems from the ground up, combining deep software engineering rigour with cutting-edge machine learning and retrieval techniques. You will work at the intersection of data engineering, AI product development, and platform reliability. This role suits someone who enjoys building robust pipelines, working on modern LLM integrations, and applying AI tools to real-world knowledge domains. What You’ll Be Doing • Build and manage data ingestion pipelines capable of processing various document types, including text files, spreadsheets, structured JSON, and audio sources, • Design intelligent retrieval systems that combine structured chunking, advanced indexing, re-ranking methods, and hybrid search approaches, • Develop machine learning and LLM-based applications for tasks like information extraction, document classification, summarisation, and semantic querying, • Construct and maintain multi-step LLM workflows using tools such as LangChain, LangGraph, or similar frameworks that support tool usage and agent coordination, • Help define internal testing and validation processes to assess model accuracy, factuality, and relevance, • Collaborate closely with product, engineering, and data teams to embed AI capabilities into user-facing platforms, • Deploy solutions in an Azure-based cloud environment, using container orchestration, automation pipelines, secure key management, and observability tooling, • Enforce data security and responsible AI practices, including anonymisation, access control, and model auditability What They’re Looking For • Hands-on experience delivering production-ready AI or LLM solutions, ideally with 2+ years working in a similar role, • Strong Python development background and confidence using popular machine learning libraries such as PyTorch, TensorFlow, or scikit-learn, • Familiarity with vector-based storage and search systems (e.g. pgvector, Pinecone, Azure Search), as well as experience working with graph technologies like Neo4j, • Practical understanding of retrieval-augmented generation pipelines and how to implement structured outputs or link models to graph-based knowledge systems, • Track record of optimising and scaling AI systems to handle real-world loads with high reliability, • Knowledge of modern ML/LLM deployment workflows, including testing, infrastructure automation, and version control, • Exposure to frontend integration, particularly with frameworks like Angular, is a nice bonus, • Any experience in content-heavy industries such as publishing, research, or legal analytics is welcome but not required, • Strong communication skills with the ability to work across teams and clearly articulate complex technical ideas to a variety of audiences If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via (feel free to include a CV for review).

Job Title: Software Engineer (AI HealthTech) Client: AI HealthTech Scale-Up – Backed by Top-Tier Investors, Led by World-Class Engineers Salary: Up to £100k + Bonus + Equity Location: Remote (UK-based) with an optional Holborn office Sells: Work on cutting-edge AI systems that power healthcare innovation at scale. Full remote flexibility across the UK, total ownership of greenfield projects, modern tech stack (Python/FastAPI/Cloud), and a culture that rewards curiosity, autonomy, and clean engineering. An AI HealthTech company is expanding its high-calibre engineering team and looking for Software Engineers who thrive on building elegant, scalable systems from the ground up. You’ll be joining a small, world-class team working on distributed backend platforms, data-driven AI tools, and core infrastructure supporting advanced medical technologies. This is a true software engineering role where you'll be designing, building, and scaling complex systems that solve real problems in healthcare. Role • Design and build production-grade backend systems using Python and FastAPI, • Develop distributed, high-performance services and APIs for AI-driven platforms, • Contribute to architecture decisions, scalability planning, and system optimisation, • Implement best practices in testing, CI/CD, and performance monitoring, • Collaborate closely with product, AI, and data teams to deliver end-to-end solutions, • 4+ years of experience as a Software Engineer building modern backend systems, • Strong Python skills (FastAPI preferred; Flask or Django also considered), • Knowledge of system design, data modelling, and distributed architecture, • Familiarity with cloud technologies (AWS, Azure, or GCP) and containerisation, • Understanding of software engineering best practices — testing, CI/CD, clean code, • Fully remote working across the UK, with an optional Holborn office, • Chance to shape core architecture in a high-impact HealthTech environment, • Flat, engineering-led structure with autonomy and trust, • Work on complex, meaningful technical problems that matter, • Strong equity offering and long-term growth opportunities, • Culture built around innovation, ownership, and collaboration

We’re looking for a hands-on technical expert to join our team and enhance our Microsoft Sentinel & Azure SIEM threat detection capabilities. The Role: • Design, implement & tune advanced detection rules and analytics., • Translate threat intelligence into actionable detection logic., • Lead SIEM enhancements, integrations & content migration., • Mentor junior engineers and drive best practices., • Collaborate with IR & threat intel teams to refine detections. Skills: • Proven experience in SIEM content development & threat detection., • Strong expertise with Microsoft Sentinel, Azure & Logic Apps., • Deep knowledge of MITRE ATT&CK, attacker TTPs & security principles., • Strong analytical & problem-solving skills.

A leading FinTech innovator is shaping the future of financial markets - across traditional finance and crypto - with cutting-edge trade surveillance technology. Their mission is to protect investors, enhance transparency, and ensure compliance in some of the world's most dynamic markets. Trusted by regulators and institutions worldwide, their systems monitor over a trillion events every single day. They are now seeking a Senior Software Engineer to join the Algos Team. In this role, you'll design and develop advanced algorithms that detect and prevent market abuse, fraud, and compliance breaches - directly shaping the integrity of global financial and crypto markets. 🔹 What you'll do * Build and optimize real-time and batch surveillance algorithms * Contribute to the design of scalable, low-latency systems * Collaborate with quants, data scientists, and compliance experts * Enhance and maintain a mission-critical global codebase 🔹 What they're looking for * 5+ years' software engineering experience (3+ in financial markets/algos) * Strong coding skills in Java, Kotlin, C#, or C++ (Python a plus) * Hands-on experience with real-time data processing & distributed systems • Data Pipelines Strong understanding of software engineering and system architecture * A proactive problem-solver with excellent collaboration skills 🌍 Why Join? * Fully remote role with global collaboration * Work at the intersection of finance and crypto innovation * Be part of a mission-driven company protecting millions of investors 👉 Ready to help build safer, fairer financial and crypto markets? Apply now. Desired Skills and Experience Proficiency in programming and building Java applications, Core Java, Hash Maps, Algorithms Data Pipelines McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

The Role We are seeking an experienced VMware Security Consultant to join the Extend Expert Team (EET). Where you will play a pivotal role in securing critical national infrastructure. You will lead technical delivery across two primary workstreams: the deployment of Advanced Threat Protection (ATP) and the implementation of the broader VMware vDefend security suite. Key Responsibilities 1. vDefend Firewall (DFW) Implementation You will support the platform deployment for NSXi, focusing on the creation and migration of firewall policies. Your remit includes: • Policy Architecture: Defining and scaling policy structures, including Macro (Common Services), Meso (Infrastructure), and Micro (Application) levels., • Operational Design: Establishing the operating model, standardisation goals, and capacity management frameworks., • Technical Integration: Implementing Identity Firewalls, logging, monitoring, and visibility metrics. 2. Advanced Threat Protection (ATP) You will oversee the enablement and tuning of ATP features to ensure robust threat detection, including: • Detection & Prevention: Enabling IPS/IDS, tuning malware prevention, and developing threat scenarios., • Incident Analysis: Assisting with initial investigations using the attack lifecycle evidence chain., • Maintenance: Managing product upgrades, patching, and the creation of custom operational dashboards. Requirements • Technical Expertise: Deep working knowledge of VMware NSX, vDefend, and ATP security features., • Strategic Thinking: Ability to define operational metrics and scaling strategies for complex environments., • Communication: Capable of working collaboratively within a multi-vendor environment (Prime Contractor and End Customer)., • Security Clearance: You must currently hold or be eligible to undergo Security Check (SC) clearance. Why Join This Project? This is an opportunity to work on a high-profile programme. You will be responsible for defining the security posture of a vital platform, ensuring long-term operational stability and resilience against sophisticated cyber threats. This project will require on-site work in the London area on a weekly basis. The rest of the work will be conducted remotely.

Emerging Technology Security Advisor Location: Reading or London (4 days onsite) Salary: £85,000 – £95,000 base + bonus About the Opportunity We’re working with a global telecommunications business undergoing a major cybersecurity transformation. This is a unique opportunity for someone to join as an Emerging Technology Security Advisor acting as an independent authority on security for next-generation technologies. You’ll provide strategic guidance and assurance across cutting-edge domains such as AI/Agentic AI, Quantum-safe systems, Blockchain/DLT, Decentralized Identity, Edge Computing, IoT, and Privacy-Enhancing Technologies (PETs). This role is about influence and thought leadership—ideal for someone with strong architectural expertise and the ability to represent complex topics to senior stakeholders and industry forums. What You’ll Do • Act as the security advisor for all emerging technologies., • Define and maintain security strategies, policies, and standards for advanced tech domains., • Deliver design assurance and risk sign-off for major initiatives., • Represent the organisation in industry discussions and public forums on emerging tech security. What We’re Looking For • Strong expertise in security architecture., • An interest or exposure to advanced technologies such as AI, blockchain, IoT, and edge computing security., • Ability to engage at senior stakeholder level and present complex topics clearly. Why This Role? • Influence security strategy for next-generation technologies., • Work in a fast-paced environment where innovation drives everything. If you’re ready to shape the future of security for emerging technologies, APPLY NOW.

As a Business Analyst, you will lead the analysis and design of digital transformation initiatives, primarily on ServiceNow, with potential involvement in other platforms such as SAP. You’ll be responsible for translating client strategy into actionable requirements and solution designs that drive measurable outcomes. We are especially interested in candidates with SPM and/or IRM experience. Your tasks will include conducting discovery workshops, mapping processes, documenting user stories and acceptance criteria, designing platform capabilities, and supporting delivery through sprint planning, testing, and hypercare. You’ll also contribute to continuous improvement efforts and, on occasion, support pre-sales activities or review statements of work. You’ll work closely with clients across industries, as well as internal teams including solution architects, developers, and project managers, to ensure that solutions are pragmatic, scalable, adding value to our clients, are aligned with best practices and ensure a successful project delivery. Key Responsibilities • Lead client discovery workshops, stakeholder interviews, and process mapping to define current and future states., • Document, and prioritise business and technical requirements into user stories, acceptance criteria, and solution artefacts., • Design solutions with a strong focus on ServiceNow modules including IRM, SPM, ITSM, HRSD, and CSM., • Conduct gap analysis and identify areas for process improvement., • Advise clients on platform capabilities and leading practices, especially in IRM and GRC domains., • Collaborate with architects to define secure, scalable integration and data designs., • Build and maintain strong relationships with clients, ensuring their needs and expectations are met., • Produce high-quality documentation though MS Products (Word, Excel, PowerPoint)., • Contribute to proposals, statements of work, and client-facing deliverables with commercial awareness., • Ensure governance, risk, compliance, and change management considerations are embedded throughout the delivery lifecycle. Qualifications • Bachelor’s degree in Business, Information Systems, Computer Science, or a related field., • Advanced certifications in Business Analysis or related disciplines are a plus. Experience • 7+ years in enterprise IT consulting or digital transformation, with demonstrable experience across platforms, especially ServiceNow., • Preferred hands-on experience with ServiceNow modules such as IRM, ITSM, ITOM, HRSD, SecOps, and CSM., • Experience in Integrated Risk Management (IRM) implementations is highly desirable. Skills & Competencies • Advanced requirements engineering: user stories, acceptance criteria, process modelling, and traceability., • Strong stakeholder engagement and facilitation skills across executive and technical audiences., • Ability to produce clear documentation that reduces rework and accelerates delivery., • Strategic thinking with a consultancy mindset and commercial acumen., • High emotional intelligence and persuasive communication skills., • Comfortable advising clients on platform capabilities and transformation strategy. Language Requirements • Fluent in English (spoken and written)., • Additional language skills are a plus, especially for global client engagements. Additional Requirements (but not essential) • Certifications in Business Analysis (e.g., CBAP, BCS), Stakeholder Management, or Change Management are advantageous, but not mandatory., • ServiceNow certifications (e.g., CSA, CIS–Risk and Compliance) are preferred but not mandatory., • Experience in regulated or complex enterprise environments (e.g., financial services, healthcare, public sector) is a strong plus.

Machine Learning Engineer / ML Engineer Machine Learning Development • Design and implement machine learning models for financial applications, with a focus on pricing and risk analytics, • Build scalable ML pipelines for processing large-scale financial data, • Develop deep learning architectures for time series prediction, anomaly detection, and pattern recognition in market data, • Optimize model performance through advanced techniques including hyperparameter tuning, ensemble methods, and neural architecture search, • Collaborate with quants to understand pricing model requirements and identify ML opportunities, • Develop data-driven approaches to complement traditional quantitative finance models, • Support implementation of ML solutions for derivatives pricing and risk management Core Technical Skills Machine Learning Expertise: • Deep understanding of ML algorithms (supervised/unsupervised learning, reinforcement learning), • Extensive experience with neural networks, including RNNs, LSTMs, Transformers, • Expertise in gradient boosting, random forests, and ensemble methods, • Experience with generative models (GANs, VAEs, Diffusion models) Programming & Tools: • Expert-level Python programming, • Proficiency with ML frameworks (PyTorch, TensorFlow, JAX), • Experience with scikit-learn, XGBoost, LightGBM, • Strong software engineering practices and clean code principles Data & Computing: • Experience with big data technologies (Spark, Dask), • SQL and NoSQL databases, • Cloud platforms (AWS, GCP, Azure) Experience • Track record of successfully deployed ML models at scale, • Experience with time series analysis and forecasting, • Experience applying ML in finance, trading, or risk management contexts, • Knowledge of stochastic processes and their applications Financial Knowledge • General understanding of financial markets and instruments, • Basic knowledge of derivatives and their risks, • Awareness of risk management principles

Company Overview Clarksons is the world’s leading provider of integrated shipping and offshore services, bringing our connections and experience to an international client base. Our intelligence adds value by enabling clients to make more efficient and informed decisions. Our global reach, local knowledge and expertise is what makes us unique. To understand more about day-to-day life at Clarksons, and what you can expect from us as an employer, visit us at ___ Division Overview Digital Transformation builds and supports the tooling that: • Strengthen our leadership in the brokerage industry by delivering innovative digital solutions that keep brokers and clients competitive and informed., • Enhance operational efficiency by integrating advanced technology into our business processes., • Ensure compliance with systems that mitigate risks, meet regulatory standards, and support clients in navigating the green transition. Role Summary We have a fantastic opportunity for a Junior Data Analyst to join Clarksons Data Analysis and Digital Innovation team in London. You will have the opportunity to work in a team focusing on Clarkson’s ongoing Digital Transformation and will also gain exposure to the commercial side of the world’s shipping industry and collaborate with a wide range of stakeholders from brokers, market analysts, data engineers, and application developers. We are looking for an individual to have a strong quantitative mindset, a passion for problem solving, and the strength to learn and grow. What you will be doing • Support the development of proof-of-concept algorithms, models and metrics creating unique and creative solutions to a wide range of data, UX, and other workflows., • Test hypotheses and perform adhoc analysis to understand commercial problems and add value., • Working independently to create innovative solutions to Maritime challenges., • Present results back to the team and stakeholders., • Build and maintain reporting dashboards in PowerBI., • Work collaboratively within a team of analysts to share and develop knowledge., • Embody a data-driven approach to decision making to challenge establish practices., • Help design and facilitate the building of organization data warehouse pipelines., • Additional ad hoc duties as required to meet the needs of the business. What we are looking for • A mathematic or other quantitative degree., • A strong understanding and passion for statistics and quantitative methods., • Experience in O365 applications, particularly familiarity with Excel., • Previous experience with Python (or similar programming language), SQL, and Power BI is a plus but not necessary., • A passion for problem-solving and a desire to search for the truth., • An ability to connect the dots and understand how different pieces of a puzzle work together., • An aptitude for attention to detail and checking one’s work., • A collaborative minded individual that is willing to hear other’s arguments and change one’s mind to the best solution presented., • Excellent verbal and written communication skills in English. What you can expect from us • In return you will have an exciting opportunity to join and be part of a leading organisation that is shaping the maritime industry. This is a fast-paced, dynamic, and highly collaborative environment where there are significant opportunities for growth and development.

Business Analyst – London – FIXED TERM CONTRACT – £63,000pa - Hybrid working My client are looking for an experience Business Analyst to join their team for a 6 month fixed term contract. They will be focusing on a variety of projects, with involvement in multiple strategic initiatives. They are looking for a Business Analyst to produce actionable business insights from detailed data analysis. Supporting solutions for key projects by interpreting trends from different data sources. They are looking for Business Analyst with • Advanced knowledge and experience of data manipulation and visualisation tools., • Experience gathering, structuring, and analysing data, to produce actionable insights., • Experience facilitating workshops and presenting findings to senior stakeholders., • Experience working within Professional Services environments., • Strong attention to detail, adaptable and pragmatic., • Experience working in highly regulated environments e.g. Professional Services. This role is a 6 month fixed term contract. £63,000pa. Hybrid working policy with 3 days per week in their central London office and the remainder remote. I look forward to receiving your application. Business Analyst – London – FIXED TERM CONTRACT – £63,000pa - Hybrid working

Network Engineer with Zscaler Experience You must have an active DV for this role Inside IR35 Purpose of the Role The Zscaler Technical Specialist provides deep technical expertise in Zscaler technologies to enhance and optimize the organization’s secure access and cloud security posture. Working closely with Engineering, Network, and Security teams, this role uplifts internal capability, improves configuration and deployment practices, and ensures the Zscaler platform is fully leveraged to deliver secure, scalable, and high-performance connectivity across global Diplomatic and Development Services. This position plays a key role in driving best practices, reducing technical debt, and aligning Zscaler capabilities with strategic business objectives. Key Responsibilities • Lead the design, configuration, and optimization of Zscaler Internet Access (ZIA), Zscaler Private Access (ZPA), and Zscaler Digital Experience (ZDX)., • Conduct in-depth assessments of existing Zscaler deployments to identify gaps and opportunities for enhancement., • Develop and implement policies, rules, and workflows to improve security effectiveness, user experience, and operational performance., • Deliver knowledge-transfer sessions, coaching, and technical uplift to strengthen the Engineering Team’s capability in deploying and managing Zscaler solutions., • Collaborate with network, security, identity, and infrastructure teams to ensure seamless integration with enterprise systems and architectures., • Troubleshoot complex issues, perform root-cause analysis, and provide advanced support for escalated incidents related to Zscaler services., • Contribute to documentation, governance, compliance, and operational standards for Zscaler configuration and lifecycle management., • Support ongoing platform improvements, automation efforts, and best-practice adoption to enhance reliability and scalability. Required Skills & Experience • Proven hands-on experience with Zscaler Internet Access (ZIA), Zscaler Private Access (ZPA), and Zscaler Digital Experience (ZDX), including advanced configuration and policy design., • Strong understanding of Zero Trust architecture, secure web gateways, and cloud security principles., • Expertise in networking protocols (TCP/IP, DNS, HTTP/HTTPS), VPN technologies, and identity integration (SAML, OAuth, LDAP)., • Familiarity with firewall policies, proxy architecture, SSL inspection, and traffic forwarding methods., • Experience integrating Zscaler with identity providers (e.g., Azure AD, Okta) and endpoint management solutions., • Ability to analyze logs, troubleshoot complex connectivity issues, and optimize performance across distributed environments., • Knowledge of scripting or automation (PowerShell, Python, APIs) for configuration, reporting, or workflow automation (highly desirable)., • Strong communication skills with the ability to explain technical concepts to varied audiences and uplift team capability. Desirable Attributes • Relevant certifications such as Zscaler ZCCA-IA/ZCCA-PA, CCNP, CISSP, or cloud certifications (Azure, AWS)., • Experience in large-scale or global enterprise environments., • Strong documentation, governance, and continuous improvement mindset.

DevOps Engineer – Environment Solution Design 6-Month Contract – Inside IR35 London based – hybrid working - 2-3 days office based Position Description Environment Solution Design Engineer to act as a bridge between domain architecture decisions and on-the-ground technical implementation of solutions across environments in compliance department. This is a hands-on (do-er) role covering solution designing of strategic implementations specifically in infrastructure and capacity management. This role will also take a lead in implementing strategic DevOps processes specifically around tooling, build and deployment automation across the domain as a whole. The candidate will be responsible to implement uniformity of DevOps tools and processes across the department Your key responsibilities • Infrastructure – Solution design of requirements working with domain architects, infrastructure teams , vendors and developers. Capacity and utilization management of current infrastructure underpinning the compliance Domain. Work closely with production management and release management to ensure that growth projections are adequately met with optimisation and cost efficiency., • DevOps – Implementing uniform processes across the department, with high level of build & deployment automation and using standard tools. Understanding the current landscape, identifying gaps and leading the closure of these gaps .This requires close working relationships with the development teams, strong coordination between various groups required., • Team working –Working collaboratively with vendor partners as well and DB permanent staff across geographies., • Ensuring all SDLC and Release processes are followed and take proactive actions as and when necessary., • Additional responsibility includes, automation testing through Selenium, JUnit etc., • Ensure enough test coverage for the releases exist and the gaps are filled, • Building selenium tests from ground up and writing JUnits as necessary Your skills and experience • Extensive experience in environment / infrastructure management and a track record of delivery in Information Technology (IT) projects, • Extensive Experience of Linux, UNIX, Oracle, build management tools, Big Data platforms and applications., • Hands on scripting experience with shell, powershell, python, Maven., • Hands on experience of operating with Windows servers., • Hands on experience with build and deployment automation., • Hands on experience with orchestration tools eg TeamCity , Hudson, Udeploy., • Ideally experienced with devops tools like puppet., • Ideally experienced in working with Agile projects., • Understanding of architecture and implementation of three tier web applications., • Ideally a background in the Surveillance domain, trade or communication., • Experience or knowledge of delivering projects in an Investment Banking environment., • Proven negotiation, problem solving and conflict management skills., • Used to working to tight deadlines and identifying problems at an early stage., • Flexibility and willingness to work autonomously and self motivated within set competencies in a team and fast paced environments., • Experience of working with teams in multiple locations, • Extensive knowledge and experience of Program Management tools, standards and principles., • Proficiency in Microsoft Office applications., • A strong delivery focus adhering to consistent project standards., • Understanding of IT Governance related processes and practices., • Flexibility - able to work in a fast changing environment and to react positively to re-prioritisation., • Proven track record in managing virtual teams and working in matrix structures., • Ability to motivate others., • Ability to effectively manage conflicting priorities., • Knowledge of agile IT project management techniques would be beneficial, • Needs to be an SCM Expert with knowledge on JIRA integration, • Hands on with scripting in Python, Shell Script, Maven / ANT, • Strong Java understanding with technical expertise and knowledge of below technologies Language: Core Java Automation Testing: JUnit, Mokito, Selenium Scripting: Python, Shell Scripts, Power Shell Server OS: RHEL, Linux, UNIX SCM: GIT, SVN Build tools : Maven (Build tool), ANT, Gradle SDLC Tools: JAMA, JIRA, SONAR, VERCODE, TeamCity, BitBucket, Jenkins, Ansible, Udeploy, ALM etc. Practices: DevOPS, Agile, CI & CD • Candidate should be able to demonstrate strong technical skills, • Exposure to other technologies like UNIX, Job Scheduling (Exp: Control-M), • Exposure and experience in Banking Compliance or Finance Industry, or experience of Investment banking would be a big plus., • Excellent verbal and written communications and analytical ability is must., • Familiarity with Agile and Scrum practices, • Hands on working on Linux systems, • High energy team player with a positive working attitude.

Senior Data Engineer 6 Month initial contract Hybrid role (up to 3 times a week in London) Start ASAP £550 - £575 per day Inside IR35 Azure/Python/SQL/ELT experience *Please note that this role requires security clearance due to the nature of the project Essential Skills & Experience • 10+ years’ experience in Data Engineering, with a minimum of 3 years of hands-on Azure Databricks experience delivering production-grade solutions., • Strong programming proficiency in Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications., • Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/ELT patterns, and modern data integration architectures., • Extensive experience working with Azure data services, particularly Azure Data Factory, Azure Blob Storage, Azure SQL Database, and related components within the Azure ecosystem., • Demonstrable experience designing, developing, and maintaining large-scale datasets and complex data pipelines in cloud environments., • Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability., • Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performance tuning, and (ideally) relevant Databricks certifications., • Hands-on experience with SQL and NoSQL database technologies, with strong query optimisation skills., • Solid understanding of data quality frameworks, data governance practices, and implementing automated testing/validation within pipelines., • Proficient with version control systems such as Git, including branching strategies and CI/CD integration., • Experience working within Agile delivery environments, collaborating closely with cross-functional teams to deliver iterative, high-quality solutions.

Role - Principal Lead Analyst- Data Scientist Technology – Data science, MLops, GenAI Location – London, UK Compensation – Competitive (including bonus) Today, the corporate landscape is dynamic, and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you. At Infosys, we assure that your career will never stand still, we will inspire you to build what’s next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people. Technical Expertise: • Proven experience in client-facing analytics leadership roles (preferably in healthcare or public sector)., • Strong knowledge of data platforms (Azure), AI/ML frameworks, and visualization tools., • Expertise in stakeholder management, solution architecture, and project governance., • Understanding of Responsible AI, data ethics, and regulatory compliance., • Serve as the primary point of contact for senior client stakeholders., • Understand client business objectives and translate them into actionable analytics strategies., • Oversee design and delivery of advanced analytics, AI/ML models, and data-driven solutions., • Guide technical teams on architecture, data engineering, and model development best practices., • Mentor and coach analytics professionals build capability within the team., • Foster a culture of innovation, collaboration, and continuous improvement Your Role: Data Scientist Required: 15 to 20 years of experience Preferred: Azure data science and open Ai Overview Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.

AI / LLM Engineer Permanent | Up to £130,000 + benefits London | 5 days on-site A fast-moving, rapidly growing commodity trading firm, and a leading market-maker in energy derivatives, is continuing to scale and is looking for an AI / LLM Engineer to help design and deploy advanced AI-driven solutions across the business. This role is suited to an engineer who enjoys working close to the business, building production-grade AI systems, and operating in a high-performance financial services environment. Overview As an AI / LLM Engineer, you will be responsible for building, deploying, and optimising AI and large language model solutions that support trading, risk, operations, and decision-making workflows. You will work closely with engineers, traders, and senior stakeholders to translate real business problems into scalable AI systems. This is a hands-on engineering role, with a strong focus on production deployment, cloud infrastructure, and real-world model usage rather than pure research. Role Responsibilities • Design, build, and deploy AI and LLM-based solutions into production environments, • Work with large language models, prompt engineering, orchestration, and evaluation, • Integrate AI solutions into existing trading, analytics, and operational platforms, • Build scalable pipelines and services across multi-cloud environments (AWS, GCP, Azure), • Collaborate closely with engineering, data, and business teams to deliver real commercial impact, • Develop and integrate intelligent AI agents / agentic workflows that act autonomously to solve key problems across the firm, • Ensure reliability, performance, and security of AI systems in a regulated financial environment, • Continuously improve model performance, cost efficiency, and scalability Essential Skills & Experience • Proven experience as an AI Engineer, Machine Learning Engineer, or LLM-focused Engineer, • Hands-on experience building and deploying LLM-powered applications, • Strong multi-cloud experience across AWS, GCP, and/or Azure, • Background in financial services, ideally within trading, capital markets, commodity trading, or large enterprise banking, • Strong software engineering skills with a focus on production systems, • Comfortable working in fast-paced, high-pressure environments, • Ideally looking for practical experience building or deploying intelligent AI agents / agentic systems that automate workflows in production - whether custom‑built or via frameworks like AI‑Gentic and similar platforms Package • Salary around £130,000, dependent on experience, • Competitive benefits package, • Onsite (5x week in London)

Are you looking to apply your cyber security expertise within a complex financial services environment, with a particular focus on CyberArk Endpoint Privilege Manager? This role offers the opportunity to act as a subject-matter expert, shaping strategy, governance, and technical direction across privileged access and endpoint security. This position sits within a large-scale, enterprise transformation programme, supporting a major investment banking environment. You’ll work alongside senior stakeholders, influencing security outcomes while remaining hands-on with critical platforms. The Opportunity: • Contribute to high-impact cyber security initiatives within a regulated financial services organisation, • Play a key role in shaping and maturing privileged access and endpoint privilege management capabilities, • Work closely with technical teams, architects, and senior stakeholders across the business The Role: As a PAM & EPM Subject Matter Expert, you will provide governance, advisory support, and hands-on expertise across CyberArk and access management technologies, with a strong emphasis on Endpoint Privilege Management. Key Responsibilities: • Provide technical governance and strategic direction for Authentication, CyberArk, and Access Management platforms, • Deliver technical workshops and 1-to-1 coaching to internal teams, • Oversee day-to-day management and maintenance of authentication and access management platforms, ensuring availability, performance, and resilience, • Monitor platform health, manage alerts, and maintain operational and technical documentation, • Proactively identify and drive improvements to standard operating procedures and controls, • Use existing tools to evidence, escalate, and resolve issues in collaboration with management, • Act as a hands-on expert in CyberArk Endpoint Privilege Manager, supporting implementation and optimisation Essential Skills & Experience: • Strong, hands-on experience delivering Privileged Access Management solutions, with deep expertise in CyberArk EPM, • Solid knowledge of Microsoft Active Directory (including Certificate Services and/or Federated Services), • Experience with Entra ID, including management via PowerShell modules, Graph API, and Conditional Access policies, • Strong DNS configuration knowledge and advanced troubleshooting capability, • Experience with Quest Change Auditor and Quest Forest Recovery Manager, • Hands-on experience with Azure AD Connect (connectors, sync rules, and metaverse queries), • Experience implementing Single Sign-On using SAML and OAuth, • Strong PowerShell automation skills, including script creation and centralised management, • Good understanding of Multi-Factor Authentication configuration, including Microsoft Authenticator Desirable Experience: • Broader experience across CyberArk Privileged Access Management solutions, • Additional experience with Endpoint Privilege Management tools, • Understanding of cloud security best practices and compliance frameworks, • Experience working within agile delivery environments

AI Engineer, London (Hybrid, 2–3 Days Onsite) Up to £100,000 + 20% Bonus We’re partnered with a leading consumer wellness and fitness business with a large international footprint and a rapidly growing digital ecosystem. They operate at scale, serving millions of members through both physical locations and technology-driven services. The business is investing heavily in data, AI, and modern engineering practices to reshape how customers engage with health and wellbeing products. They are now looking for an AI Engineer to join their growing AI function and play a central role in developing intelligent systems and advanced AI agents. This is a fantastic opportunity to influence AI strategy while remaining hands-on in building production-grade solutions that will directly impact millions of users. What You’ll Work On • Designing, building, and deploying AI agents and intelligent automation systems., • Developing end-to-end AI features that integrate seamlessly into customer-facing digital products., • Collaborating closely with data scientists, engineers, product teams, and domain experts., • Experimenting with advanced LLMs, vector search, orchestration frameworks, and retrieval pipelines., • Contributing to architectural decisions and helping shape the organisation’s long-term AI roadmap. What They're Looking For • Strong commercial experience building and deploying AI agents., • Experience within B2C environments is highly advantageous (digital products, consumer platforms, apps, etc.)., • A background in Data Science, Mathematics, Physics, or similar quantitative fields is beneficial., • Excellent engineering fundamentals with hands-on skills in Python and modern AI tooling., • Strong problem-solving ability and a genuine passion for cutting-edge AI innovation. Salary up to £100,000 Up to 20% annual bonus Hybrid working in London (2–3 days onsite per week) The chance to join a forward-thinking organisation investing heavily in AI If you're interested in this then please apply or email

• Design and evolve the network automation framework (source of truth, templating, validation, change control)., • Build idempotent automation to provision and operate data centre fabrics at scale., • Integrate with vendor APIs and SDKs (e.g. Arista EOS, NetQ etc.), • Capture network intent as code, ensuring peer reviews and quality gates., • Instrument the network with telemetry, alerting, and SLOs to drive automated remediation., • Adhere to NetDevOps practices and share knowledge across the team., • Collaborate with network and platform engineers to translate designs into automated workflows., • Deliver frequent, incremental improvements through safe, tested changes., • Monitor vendor and industry developments and propose practical adoption paths. Your Present Skillset • Advanced Python development for production-grade tools and services., • Go (preferred) for performant tooling., • Strong Ansible experience (roles, collections, YAML/JSON data models)., • Git proficiency including branching, pull requests, and semantic versioning., • Observability fundamentals (Prometheus, Grafana, logging and tracing)., • Source of truth/CMDB systems (NetBox, Nautobot etc.)., • Linux networking (iptables, DHCP, DNS) and strong Bash scripting., • Workflow orchestration (Temporal or equivalent)., • Network validation and testing tools (pyATS, NAPALM etc.)., • Containers and orchestration (Docker, Kubernetes)., • Secure secrets and configuration management (Vault, PKI best practices)., • Experience with data centre fabrics, QoS, and high-performance networking is a plus.

Lead Data Scientist Salary: £115,000 - £125,000 Location: London/Hybrid Data Idols are partnered with a leading technology distributor that is continuing to invest heavily in data. They are looking for a Lead Data Scientist who can act as the senior technical expert within the team, someone who delivers high-impact models, sets technical standards, and leads complex projects through to production. The Opportunity As a Lead Data Scientist, you'll be the go-to technical authority, taking ownership of challenging modelling work and driving end-to-end delivery. You'll work deeply hands-on, developing advanced models, improving existing pipelines, and ensuring solutions are scalable and production-ready. You'll collaborate closely with the Head of Data Science, shaping the technical approach, advising on best practices, and leading major initiatives. While not a people manager, you will support and mentor others by setting the bar for technical excellence and helping guide their development. This role is ideal for someone who thrives as a senior IC and wants to stay close to the code and modelling while having a strong voice in technical decision-making. Skills and Experience • Extensive experience building, validating, and deploying machine learning models into production, • Strong hands-on Python and SQL skills, • Experience working in cloud environments (GCP preferred), • Deep understanding of experimentation, evaluation, and scalable ML design Lead Data Scientist

AI Engineer London, Hybrid (2 days in office) Oliver Bernard have partnered with a cutting-edge AI research company in London that is looking to add a talented AI Research Engineer to their team. This is a fantastic opportunity to work on advanced ML systems and contribute directly to the development of next-generation AI capabilities. The Role • Designing and trialing advanced approaches to context handling, model refinement, and intelligent workflow construction, powering everything from UI generation to code creation., • Running targeted experiments and A/B evaluations to push generation quality and reliability., • Turning breakthrough ideas into real, dependable systems, ensuring new research makes it smoothly into production. Key Requirements • Hands-on experience working with LLMs, • Strong programming skills in Python and JavaScript/TypeScript., • Proven experience in applied ML, research engineering or related fields. If you thrive on fast experimentation, technical depth, and building AI systems that genuinely ship, apply below. AI Engineer | London | Hybrid

Lead AI Engineer London – 3 days onsite £150k + 20% bonus + top-tier benefits Travel opportunities OB are partnering with a world-class wellness company on the search for a Lead AI Engineer to own and deliver high-impact AI solutions across their global consumer platform. This is a chance to build cutting-edge products in an aspirational, tech-forward environment. What you’ll bring: • 9-10+ years in AI/ML/advanced engineering, • Strong quantitative background (Physics, Maths, Engineering, etc.), • Serious coding ability + end-to-end AI solution delivery, • Experience building intelligence components + API integrations, • B2C exposure — ideally e-commerce, hospitality, or other consumer-driven sectors What you’ll get: • Up to £150,000 base, • 20% bonus, • Generous benefits, • A global role with real impact, • Travel to international hubs like Singapore + Sydney, • The chance to shape AI strategy in a high-growth wellness brand Apply below for more information. London | AI Engineer | £150k | Wellness

Senior Data Engineer Databricks / Azure / SQL London 2-3 days on-site £65,000 - £72,000 + 20% Bonus + Excellent Benefits Our client is a leading global hospitality brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision-making across every area of the business — from supply chain and logistics to marketing, customer sales and in-store operations. We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, build, and optimize the clients data platform. This role will be pivotal in developing scalable data pipelines, enabling advanced analytics, and driving data quality and governance across the organisation. You’ll work closely with data scientists, analysts, and business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions. Required Qualifications • 6+ years of experience in data engineering, • 3+ years of hands-on experience with Databricks, • Strong working knowledge Azure, • Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. To apply for this role please email across your CV ASAP. Unfortunately sponsorship can’t be provided on this occasion, only candidates with full right to work can be considered