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Job title: HPC Infrastructure Engineer Client: Elite FinTech Salary: £80,000-£130,000 + Bonus Location: London Skills: HPC, Linux, Git, NFS, Git, Kubernetes, GPU, Storage, Python The role: My client are seeking an HPC Engineer to join their team. You’ll be working on some of the largest, most performant HPC Infrastructure in Europe. Core Skills & Requirements: • Strong Linux background with packet management experience, • GitOps, • Configuration Management, • Infrastructure as Code, • Kernel Tuning, • NFS, • Distributed resource management systems such as Kubernetes and Slurm, • GPU experience, • Experience with high performance Storage (such as Weka, Lustre, GPFS, Vast, Ceph etc.), • Ability in a scripting language, preferably Python, • Systems design and translating requirements Please apply ASAP for more information.

About Native Native is a VC-backed AI startup building the world’s most accurate AI for database reasoning. This is hard. This is an unsolved problem that, once solved, will change how every enterprise operates. We recently published our results, achieving rank #1 on the industry-standard benchmark. Our research team is based in London. Everyone has high agency, is obsessed with the problem we are solving, embraces the intensity of a 6-day week, and has the ambition to build something world-changing. We are exceptional engineers and researchers taking a novel approach to accurate database reasoning. About the role This is a founding Data Engineer role, with the opportunity to shape our data and backend architecture from day one. • Productionise research into robust, scalable data and backend systems, • Design and build data pipelines and APIs used by internal systems and customers, • Work deeply with databases (SQL, complex schemas, real-world, messy enterprise data), • Design and operate data ingestion, transformation, and validation workflows, • Own scaling, performance, reliability, and correctness of data systems, • Design for observability, reproducibility, and data quality, • Think through edge cases, failure modes, and system boundaries in real-world data, • Help shape the data and backend architecture of the company from its earliest days Required experience • Strong experience with Python in production data or backend systems, plus familiarity with at least one additional backend language (e.g. Rust, Java, Go), • Experience building and running production data systems (pipelines, storage layers, APIs), • Deep comfort working with SQL, schemas, and complex relational data, • Experience with real-world data issues: missing data, inconsistencies, schema drift, scale, • Comfortable turning ambiguous research ideas into reliable data infrastructure, • Solid understanding of APIs, databases, and distributed systems, • Engineering taste: you care about clarity, correctness, and trade-offs, • High ownership mindset. You ship, you own, you improve Why join us This is a rare chance to join a founding team operating at the frontier of AI, with the resources to win. • Impact: You will help push the frontier of AI-native data systems in an under-explored, massively valuable domain, • Team: A small, collaborative, world-class research and engineering team based in central London, • Founding-level equity + competitive salary: Meaningful ownership alongside a salary that lets you focus on building something great, • Direction: Shape the data foundations of a new class of AI system from day one Culture At Native, we look for people with exceptional engineering ability who want to win. Everyone loves building and is ambitious enough to want to change how the world operates for the better. • We run towards hard problems, • We are creative problem solvers who keep going until we find the underlying principle, • We build systems that must be correct, robust, and trusted, • If you have an entrepreneurial spirit, are intrinsically motivated, and want to have a huge impact, we are a great fit

Python Quant Dev - Cash Equities/Algo/Backtesting/Trading/Market Making. Strong Python development skills (Java exposure beneficial but not core).

I'm working with a consultancy that will offer probably the widest variety of experience on the market - a mix of short, high impact projects as well as longer term in-depth projects. You’ll work directly with leading banks and lenders on cutting-edge credit risk projects—everything from predictive modelling and origination scorecards to debt pricing and portfolio forecasting. This is your chance to sharpen your expertise while influencing major financial decisions. As you progress, you’ll take ownership of key projects, develop financial and forecasting models, and start leading initiatives that directly impact major lending decisions. You’ll build a portfolio of work that speaks volumes for your next career move, whether that’s in consulting, banking, or tech. They operate a very flat structure where you will work directly with the directors and industry veterans so a great opportunity to learn and develop with the best. It's a superb time to join- they have a huge plans to accelerate growth and the opportunities to work on interesting projects abound... The team is based in London and ideally you will be available to work 2 days in the office, however are known for being very flexible! About you We are looking for someone with a few years of experience that is ready to take the next step in their career and join a growing company Highly analytical who enjoys solving problems - understanding the business as well as the data Strong coding skills (Python or SAS) Modelling experience

AI-Augmented Engineering Lead - Leading Financial Services - Perm - London - Hybrid About the role: We're looking for an AI-Augmented Engineering Lead to help drive the adoption of AI-enabled engineering practices across its technology platform. This role sits at the intersection of AI, DevOps, and Cloud Engineering, focusing on integrating AI-driven capabilities into the software development lifecycle to improve engineering productivity, software quality, and delivery velocity. Responsibilities: * Drive adoption of AI tools across the SDLC, including coding assistance, automated testing, and operational insights. * Lead the evolution of a central AWS-based DevSecOps platform. * Design and optimise CI/CD pipelines with embedded security and quality controls. * Integrate AI capabilities into engineering workflows, monitoring, and incident analysis. * Lead experimentation and POCs with emerging AI and cloud technologies. Key Requirement: * Strong experience with Generative AI, Machine Learning, or LLM-based solutions. * Deep expertise in AWS cloud architecture and DevOps practices. * Experience with Python, JavaScript, or React. * Hands-on experience with Terraform or AWS CDK. * Strong knowledge of CI/CD, containerisation...

Job title: Global SRE Lead – Trading Client: Elite FinTech Salary: £120,000-£250,000 + Bonus Location: London Skills: SRE, Leadership, Linux, Chef, Puppet, Ansible, Kubernetes, Docker, CI/CD, Python The role: My client are seeking a Global SRE Lead to join their team. You will have overall responsibility for a team of over 20 globally distributed SRE’s, working to ensure that the Platform it’s at it’s optimum uptime. The successful candidate will likely stem from a Trading / Financial Services background. You will have experience with managing global teams. The role will predominantly focus on SRE strategy, stakeholder management and platform reliability. This is not a hands off position. There will be an expectation to be involved in key incidents at a high level, and provide escalated support where required. You should have a broad overview of some of the following technologies, and be well versed in SRE best practices: • Linux, • Chef, Puppet or Ansible, • Kubernetes, Docker, or Podman, • CI/CD, • Python, • IaC – Terraform, Helm, Ansible, Pulumi, Bicep, • DR, • Block / Blob Storage, • HPC Please apply ASAP for more information.

Title: Python Developer Client: Elite Multi-Strat Fund Location: London (hybrid) £££: Up to £160,000 Starting Base + Bonus + Benefits The Opportunity: We're looking to add a high-impact engineer to a small, specialised team responsible for the real-time risk and trading data platform that powers systematic strategies across the firm. You’ll operate at the intersection of distributed systems, market data, and quantitative trading, designing high-reliability platforms that process large volumes of trading activity with strict latency and accuracy requirements. Your Responsibilities (Full Spec Avail): • Build high-performance data services and pipelines that power real-time portfolio monitoring, • Develop tools used by investment teams to analyse risk, exposures, and performance, • Automate critical trading lifecycle workflows across derivatives and multi-asset portfolios, • Partner closely with traders and quantitative researchers, • Own systems end-to-end within a mission-critical trading environment About You: • Strong CompSci fundamentals (degree ideally in CompSci or equivalent), • 4+ years building production software or data systems, • Comfortable working with high-volume data pipelines, distributed services, or performance-sensitive platforms, • Ownership mindset with the ability to take complex systems from design to production Ready to build software where performance matters and every microsecond counts? Apply now or reach out to me directly via

Linnk Group are currently engaging skilled consultants to support a programme with a large Global Market leader in the Cloud/Automation space. Key Details: • 12-month contract, • Hybrid working (London) – 2–3 days onsite Core Responsibilities Design, refactor, implement, and validate Operations Orchestration (HP/HPE/Micro Focus/OpenText) workflows to enable automated lifecycle operations through supported APIs and integration mechanisms. You will be responsible for the engineering, refactoring, documentation, and testing of orchestration flows, including adapting and enhancing existing workflows. In-Scope Flows • Create Virtual Machine, • Modify Virtual Machine, • Power On, Power Off, Reboot, • Decommission Virtual Machine, • Refactored and fully tested OO Content Pack, • Updated technical documentation for each refactored flow, • Strong experience with OpenText Cloud Service Automation (CSA), • Operations Orchestration (OO) workflow development and content pack engineering, • Scripting skills (Python, PowerShell, Bash, JSON/YAML processing), • Experience with CI/CD or version-controlled automation workflows (Git), • Experience working within regulated enterprise environments

PRODUCT OWNER Overview: This company provides a cloud-based data and analytics platform for financial institutions, enabling deeper insight into market activity and supporting trading and research functions. The platform helps firms access and work with large volumes of structured market data more efficiently, reducing the operational burden of sourcing and processing raw datasets. Key Responsibilities: • Own and manage the product backlog, including prioritising work, refining user stories, and working closely with stakeholders, • Act as the subject matter expert for your product area, with a strong understanding of APIs, workflows, and client use cases, • Turn complex client needs into clear, well-defined product requirements, epics, and user stories, • Work closely with engineering and data teams to clarify requirements, technical considerations, dependencies, and delivery plans, • Collaborate with commercial, customer success, and quant teams to understand client needs and market trends, • Contribute to product discovery through customer feedback, competitive insights, and roadmap planning. Skills and Experience Required: • Experience working with SaaS, platform or data product, • Strong understanding of Agile / Scrum methodologies, • Ability to communicate clearly with both technical and non-technical stakeholders, • Strong analytical mindset with attention to detail with exposure to modern data science platforms and tools (e.g. Snowflake, Databricks, cloud data warehouses, SQL, Python, Tableau, Power BI), • Comfortable working in a fast-growing, scale-up environment, • Result-oriented with high commitment, resilience and professionalism, • Experience with financial markets, trading, or market microstructure, • 3-7 years experience Reach out to me for more details on for more details.

Job Title: Business Intelligence Analyst Location: London (Hybrid - 2–3 days per week in office) Industry: Financial Services Salary: £55,000 – £75,000 DOE The Opportunity I’m working with a leading financial services organisation in London that is seeking a talented BI Analyst to join their growing data and analytics team. This is a fantastic opportunity for someone who enjoys turning complex business data into actionable insights through dashboards and reporting. The role offers a hybrid working model, competitive benefits, and the chance to work on high-impact projects across finance, operations, and risk teams. Key Responsibilities • Design, build, and maintain interactive dashboards and reports using BI tools such as Power BI or Tableau., • Analyse large datasets to provide actionable insights that influence business strategy., • Collaborate with stakeholders to understand reporting requirements and improve data-driven decision-making., • Support the development and optimisation of data pipelines and data models., • Ensure data integrity, quality and governance across reporting platforms., • Assist with ad-hoc business intelligence requests and deliver insights to senior stakeholders. Essential Skills & Experience • Proven experience as a BI Analyst or similar role, preferably in financial services., • Strong experience with BI tools (Power BI, Tableau or similar)., • Proficient in SQL for querying and data manipulation., • Working knowledge of Python or other scripting languages for data analysis is advantageous., • Experience with cloud platforms (Azure or AWS). Desirable Skills • Understanding of data warehousing, ETL processes and data modelling., • Experience with financial data, risk analytics or regulatory reporting., • Strong communication skills and ability to present insights to non-technical stakeholders., • Ability to translate business requirements into technical reporting solutions. Package & Benefits • Competitive salary: £55,000 – £75,000 DOE, • Hybrid working – 2–3 days per week in London office, • Annual performance bonus, • Private medical insurance and wellness support, • Generous pension and life assurance, • 25+ days annual leave plus bank holidays, • Professional development opportunities including training and certifications

We’re hiring a Senior Spotfire Developer to support a global life sciences organisation on a major laboratory digitalisation initiative. Key responsibilities: • Develop and maintain Spotfire dashboards and data visualisation tools, • Build data reduction solutions supporting laboratory data workflows, • Integrate lab systems (e.g. LabWare, data lakes) with analytics platforms, • Perform data transformation and optimisation for downstream use, • Promote DevOps best practices using tools such as GitHub and Jira Key requirements: • Strong experience with Spotfire (essential), • Experience with tools such as Python, R, Power BI, or Databricks, • Experience working with data pipelines, integrations, or data lakes, • Strong stakeholder engagement skills, • French speaking required and English required This is initially a 9 month contract and looking for someone to start asap. My email is

About the Role A venture-backed TechBio company in London is hiring a senior-level epidemiologist / RWE programmer to help build the future of data-driven drug development. You’ll join a team that’s rethinking the traditional model - developing internal tools, working directly with biopharma partners, and applying real-world evidence to accelerate drug development. This role combines scientific depth with software fluency. It’s ideal for someone who thrives at the intersection of health data, analytics, and product-led strategy. Key Responsibilities • Design and analyse non-interventional studies, including regulatory-grade and exploratory projects, • Collaborate with engineering to build internal tools that support and scale RWE applications, • Engage with external partners to guide RWE strategy and deliver high-quality outputs, • Translate complex data into actionable insights for internal stakeholders and regulators, • Lead protocol and SAP development, contribute to CSRs and publication strategy, • Apply modern causal inference techniques to support study validity and robustness Ideal Candidate • MSc in Epidemiology, Pharmacoepidemiology or Health Data Science, • Strong coding skills in R or Python, • Experience delivering end-to-end observational studies using real-world datasets, • Proficient in study design, regulatory writing (protocols, SAPs, TFLs, CSRs), • Knowledge of coding systems (ICD, SNOMED, GPI, HCPCS) and RWD sources (claims, EHR, registries), • Familiar with regulatory trends around pragmatic trials, external control arms, and synthetic cohorts, • Skilled in handling and cleaning messy, multimodal data, • Confident using methods such as propensity score matching, IP weighting, and IV analysis, • Excellent communication skills with the ability to distil complex findings for different audiences Bonus Experience • Prior work in a startup, biotech or agile CRO, • Hands-on work with MarketScan, Flatiron Health, or Premier datasets, • Understanding of product development processes in tech-enabled life sciences companies This is an opportunity to join a company that’s not just running studies, but building the future of drug development infrastructure. If you’ve got the technical depth, strategic mindset and coding fluency to back it up - get in touch. London or Dubai (2 days per week) £70,000 - 90,000 + equity Unlimited holidays

Catastrophe Analyst | Front-Facing Opportunity Location: London Salary: £75,000 + Benefits We are exclusively partnering with a leading London market firm to appoint a Catastrophe Analyst. This is a uniquely front-facing position designed for an individual who thrives on stakeholder engagement and strategic risk analysis. The Role moves beyond standard modeling, you will take ownership of end-to-end projects and bridge the gap between complex data and commercial decision-making. You will also focus on Project Leadership, Driving catastrophe modeling initiatives and taking a lead role in portfolio management. You'll need: • A minimum of 3 years of experience within the Insurance space, • Advanced proficiency in AIR or RMS, • SQL, R, or Python, • A degree in a quantitative field (Science, Engineering, or Mathematics). For a confidential discussion or to receive further details, please reach out to with a copy of your CV.

Technical Program Manager – GenAI Safety & Experience (Customer Operations) Location: Hybrid London Contract Duration: 12 months Rate: £52.49 per hour (PAYE) The Mission Our client is a global leader in mobility and on-demand services, operating at massive scale across multiple countries. They are at the forefront of the GenAI revolution in customer support, transitioning from traditional service models to AI-native experiences—without compromising on safety. We are seeking high-caliber consultants to help build a next-generation digital safety net that understands nuance, intent, and urgency in real-time customer interactions. The Role As a Technical Program Manager – GenAI Safety & Experience, you will operate at the intersection of Product, Engineering, and Data to ensure AI deployment is both fast and safe. You’ll define safety standards, oversee GenAI feature rollouts, and ensure exceptional user experience in high-stakes scenarios. Key Responsibilities 🔹 Standard Setting • Define what “safe” and “empathetic” AI interactions look like, • Lead implementation of LLM-powered tools (triage, summarisation, risk detection), • Ensure seamless transitions between AI and human safety agents 🔹 Risk Mitigation • Conduct red-teaming exercises to identify vulnerabilities, • Prevent manipulation or bypassing of safety systems 🔹 Data & Insights • Analyse large-scale conversational data to identify risks and edge cases, • Drive A/B testing and feedback loops to improve model performance 🔹 Cross-Functional Leadership • Collaborate with Engineering, Legal, Privacy, and Global Safety teams, • Act as the bridge between technical and operational stakeholders Success Metrics • Reduction in Safety False Negatives, • Improved Model Precision & Recall for high-risk scenarios, • Increased Safety Resolution Score, • Smooth AI-to-human escalation experience Ideal Candidate Profile • 7+ years in Product Management, TPM, or Data Science, • Experience in Trust & Safety or Customer Experience at scale, • Strong understanding of LLMs, prompt engineering, and AI ethics, • Proficiency in SQL and data analysis (Python/R is a plus), • Proven ability to operate in fast-paced, ambiguous environments

Ncounter is supporting a global investment firm in hiring a Python Developer to help design and evolve internal compute frameworks that underpin their trading and research platforms. Design, develop, and maintain performant, reliable frameworks and services in Python. Strong proficiency in high-perf

Hedge Fund - Python Developer (Equities) - Trade life cycle - PnL - Kafka - Contract. Our Hedge Fund client is looking for a Python Developer/Engineer Contract role. Build and operate Python-based services that perform large-scale data transformations and calculations.

AWS Data Engineer | London (Hybrid) | Financial Services | £80,000-£100,000 💸 I’m currently partnering with a well-established UK Financial Services provider that supports hundreds of thousands of customers with accessible credit products and has an excellent reputation in the market. They’re looking for an experienced Data Engineer to join their database team and take ownership of production-critical systems across AWS. 🔧 The Role You’ll design, modernise and optimise scalable database solutions, with a focus on: • AWS RDS (SQL Server & Aurora PostgreSQL), • Building and operating data pipelines (incl. Snowflake integration), • Leading SQL Server migrations to AWS, • Performance tuning, monitoring & optimisation You’ll work closely with cloud, engineering and application teams, playing a key role in shaping database standards and architecture across the business. ✅ What They’re Looking For • 5+ years’ experience in relational database design & support, • Strong SQL and query optimisation expertise, • Hands-on AWS data services experience (RDS, Aurora, DynamoDB, S3 etc.), • Experience with modern ETL, replication & cloud migrations, • Python or similar scripting skills, • Bonus points for previous experience in Financial Services 🎁 What’s On Offer • Salary: £80,000-£100,000, • Hybrid working 2/3 days a week onsite, • Enhanced pension (incl. life cover), • 25+ days holiday (rising with service), • Clear progression and exposure to business-wide transformation projects

You will be using Python and AI engineering techniques to pioneer something at the forefront of the market, with a globally renowned hedge fund. Excellent Python programming ability. Python, AI, LLM, Front Office Trading, Docker, Kubernetes, AWS.

Tech stack: Graduate / Junior Developer, Python, JavaScript, PHP, Graduate / Junior Developer). Graduate / Junior Developer, Python, JavaScript, PHP - London. These roles would be suitable Graduate / Junior Developer who have recently graduated from university and have a basic understanding of any o

Teck stack: Graduate / Junior Developer, Python, Linux, C#, Java,. Having recently launched in the UK, they looking to hire Graduate / Junior Developer (Python, Linux, C#, Java)) to become a part of their ever-growing family. These roles would be suitable Graduate / Junior Developer who have recentl

What You Will Do * Design, build, and maintain scalable backend services in Python * Contribute across the stack, including frontend components (Svelte / jQuery) * Own features end-to-end, from design and development through deployment * Collaborate closely with p

Your responsibilities: Software Design & Maintenance: Design, develop, and maintain Complex Java and Python based applications and services using industry-standard methodologies and tools. Architect new systems or reuse existing systems that drive complex applications. Strategic Teamwork: Collaborate with Product Managers, UX team, and Software Engineers around the globe to deliver outstanding products. Software Development Lifecycle: Engage actively from requirements gathering and design to the final stages of testing and deployment, ensuring products meet the highest standards. Testing & Security: Establish and maintain automated tests, guaranteeing applications are robust, scalable, and secure. Proactively solve production issues, deduce root causes, and implement timely fixes or workarounds. Product Delivery: Lead individual project priorities and target commitments. Quality Assurance: Perform code reviews to ensure application meets or exceeds specified standards and objectives to achieve desired level of quality. Tech Expertise: Demonstrates depth of knowledge and expertise in software design and development to act as the SME in working domain, mentor junior developers on a day-to-day basis. L3 Production Support: As a developer, you will be responsible for delivering Level 3 production support by efficiently diagnosi...

RAD Developer – C#, Excel VBA, Rates, Fixed Income, Front Office, Trading Floor, Desk Side, Iterative Development An experienced RAD Developer is sought after by a leading global Hedge Fund to join their Front Office RAD team who are responsible for working desk-side and delivering iterative front office tools driven directly by trader requirements. You will be responsible for owning the full development and release lifecycle of the products you build, gathering and interpreting requirements directly from the traders, working on core C# libraries & services and Excel VBA screens, as well as managing your own testing and release – as per traditional RAD development processes. You will get exposure to a broad variety of work built bespoke for each trader covering everything from new pricers to data mining tools through to back testing of screens and models. To be successful, you will need: • To currently be a RAD Developer, working desk-side in an iterative development environment, not building core/enterprise applications or platforms, • Highly proficient in C# and Excel VBA development, • Demonstrable knowledge of Rates products and an ability to understand and engage with traders – including the ability to gather requirements

Overview We are seeking an experienced LAMP Developer with experience for the development of ERP services, features and capabilities for an enterprise-grade network application. This role blends strong LAMP engineering into secure, scalable enterprise environments using cloud platforms like AWS etc. The ideal candidate will bring practical development and platform engineering experience to the team to solve emerging engineering challenges. Key Responsibilities • Design, build and maintain application and enabling secure access, robustness and scalability., • Produce and keep up-to-date comprehensive documentation., • Ensuring Quality Assurance: Ensure quality assurance is maintained before deployment by adhering to project design criteria, • Collaborating with Cross-Functional Teams: Work closely with other Technical Specialists and teams across., • Minimum 3+ years of experience in software development., • Proficiency in LAMP stack: Excellent understanding of Linux, Apache, MySQL, and PHP, with hands-on experience in developing and maintaining applications using this stack, • Scripting and programming skills: Strong knowledge of Scripting languages such as Python, Perl, and expect Script...

FLEET PERFORMANCE ENGINEER CLdN is a leading provider of integrated quay-to-quay and door-to-door logistics solutions. Founded in 1929, CLdN ensures reliable, cost-effective transport that links the major economic areas of Europe. With 30 ships and more than 240 sailings a week, CLdN provides shortsea connections between the European continent, the United Kingdom, Ireland, Iberia and Scandinavia and offers the lowest CO2 footprint of all Western European RoRo operators. CLdN’s cargo and multimodal services have a Europe-wide reach using CLdN’s extensive network of ships, terminals and equipment. CLdN’s 3,000 employees ensure that it fulfils its mission: to excel as an integrated provider of maritime links. Are you data minded and wishing to assist us in optimizing our operational efficiency? Then CLdN might be a good fit for you! CLdN offers a challenging job where you can help drive visible, recognizable change as a Fleet Performance Engineer. You will become part of a growing team with a young spirit, who are committed in extracting patterns and insights from data by the application of domain expertise, tools and technology. With a focus on vessel performance and optimization, you will develop and improve software solutions related to the operational efficiency of CLdN’s seagoing vessels. Your software and Maritime insights will accelerate the transformation of our business to become a more energy efficient ship operator, reducing our greenhouse gas emissions. You will be based in our London or Antwerp Office. Summarized you may expect to: • Follow-up the performance of 30+ vessels, based on data. This task will involve writing and using in-house developed software. Analyze/monitor the operational efficiency data and identify improvement potentials., • Monitor data quality aspects for high-frequency sensor data and manual input data., • Create KPI’s to systematically report and track vessel efficiency., • Manage and optimize the fleet’s emissions and ensure compliance with European emission frameworks., • Manage data reporting to external parties such as EU-MRV, IMODCS and FuelEU Maritime reporting., • Co-operate with businesses and internal or external stakeholders, as necessary. You will play a key role in projects such as listed hereunder: • Operational: Based on data stored in real-time at high frequencies, identify and follow-up on inefficiencies across our fleet, create and deploy models to check sensor malfunction, maintain close contact with crew onboard to further improve on fuel efficiency, ensure proper emission reporting to government bodies (e.g. MRV reporting), build performance reports for vessels, etc., • Technical: Determine which vessels to prioritize for hull inspections or cleanings, estimate the efficiency gains when implementing changes such as applying high-quality paint, assist on determining optimal newbuild configurations (e.g. single screw or twin screw, installation of wind turbines on board, etc.). Your profile • M.S.C. and/or PhD degree in computer science, (maritime) engineering, mathematics, or any related field., • Knowledge of software-writing concepts such as object-oriented programming and unit-testing, • Experience with Python, • Experience with SQL is a strong plus, • Affinity with the logistic, aeronautical or maritime sector is a plus, • Interested and willing to analyse business processes and reporting methods and seek for improvements which support the relevant business stakeholders., • Interested and willing to deep dive into the field of ships performance monitoring (hydrodynamics, engine configurations, etc.), • Interested and willing to work in a fast-paced environment, • A good team player, balanced with the autonomy and motivation to produce individually., • Ability to communicate (data) insights and analytics to business stakeholders., • Fluent proficiency in both written and oral English. Our offer • A position with a direct and significant impact on reducing operational costs., • A stimulating working environment with positive and committed co-workers., • Salary package aligned with the candidate’s experience and skill set. Are you interested in learning more about this position or do you want to apply? Do not hesitate to send your CV to with reference “Fleet Performance Engineer”.

Job Title: AI Engineer / Data & AI Scientist (LLM, Generative AI, Python) We are recruiting for an AI Engineer / Data & AI Scientist to join a high-impact programme building next-generation conversational AI and generative AI platforms. This role focuses on developing production-grade LLM applications, agent-based AI systems and RAG pipelines used in large-scale customer-facing environments. This is an opportunity to work on advanced AI assistant and conversational AI technology, building scalable multi-agent architectures and generative search systems using modern AI frameworks. Key Responsibilities • Design and build LLM-powered applications using Python and Generative AI frameworks, • Develop RAG (Retrieval Augmented Generation) pipelines and AI orchestration workflows, • Build and deploy agent-based AI systems using tools such as LangGraph, CrewAI or similar frameworks, • Engineer scalable AI infrastructure across Azure and GCP environments, • Implement prompt engineering, model evaluation and LLMOps monitoring, • Strong Python development experience, • Experience building production LLM or Generative AI applications<...

Role: Senior AI Engineer – M&A & Platform Modernisation Location: London (Hybrid) Employment Type: Permanent Level: Senior / Lead Reporting to: Head of AI / Engineering Director Role Overview We are looking for a Senior AI Engineer with deep experience operating in M&A environments and delivering AI‑enabled application and platform modernisation (“ACP‑isation”) initiatives. This role sits at the intersection of AI engineering, cloud platforms, and enterprise transformation, supporting acquisitions, carve‑outs, and post‑merger integration through scalable, production‑grade AI solutions. You will work closely with architecture, cloud, data, and business stakeholders to accelerate value realisation across complex technology estates. Key Responsibilities AI Engineering & Delivery • Design, build, and deploy production‑grade AI/ML solutions, including:, • LLM‑enabled applications (RAG, agents, copilots), • Predictive models and intelligent automation, • AI services embedded into modernised platforms, • Own end‑to‑end AI lifecycle: discovery, PoC, productionisation, monitoring, and optimisation, • Support technology due diligence from an AI, data, and architecture perspective, • Analyse and rationalise overlapping application stacks, data estates, and AI capabilities, • Design AI‑led approaches for:, • Post‑merger integration, • Carve‑outs and separations, • Rapid capability uplift in acquired entities, • Lead AI components of application modernisation and platformisation programs, • Migrate legacy or fragmented AI workloads to cloud‑native, containerised platforms, • Embed AI into modern architectures:, • Event‑driven systems, • Microservices, • Data platforms and control planes, • Work with cloud and enterprise architects to define target AI architectures, • Collaborate with product owners, data engineers, and platform teams Core Technical Skills • Strong hands‑on experience with Python, and at least one of:, • TensorFlow, PyTorch, scikit‑learn, • Practical experience with LLMs and Generative AI, including:, • Prompt engineering, • Retrieval‑Augmented Generation (RAG), • Agentic workflows, • Experience deploying AI on cloud platforms (Azure, AWS or GCP), • Proven experience working in M&A, carve‑out, or post‑merger integration contexts, • Comfortable operating in ambiguous, high‑pressure transformation environments, • Application and platform modernisation (legacy → cloud‑native), • AI embedded into enterprise platforms, control planes, or shared services, • Strong stakeholder communication and documentation skills, • Ability to balance speed vs. risk in commercial M&A situations, • Experience in regulated environments (financial services, healthcare, energy), • Exposure to Responsible AI, model governance, and AI risk management, • Knowledge of integration patterns for multiple ERP, CRM, or core systems, • Previous experience in consulting, PE‑backed organisations, or scale‑ups

Principal Software Engineer (Backend) | Advanced Autonomy | London Principal Backend Engineer required for a rapidly growing London-based start-up at the forefront of advanced autonomy and AI to help shape the future of its platform. Backed by experienced founders and built by a world-class team, this start-up is entering an exciting phase of growth and this is a chance to play a key role in shaping both the technology and the company. About you: • 7+ years of experience in backend or distributed systems engineering, • Language-agnostic mindset - experience with Python, Rust, C++, Java, or Go, • Strong system design and architecture expertise, • Passion for solving complex, real-world problems Why join: • High-growth start-up with experienced, proven founders, • Work on cutting-edge AI and autonomy technologies, • Tackle critical industry challenges with real-world impact, • Build alongside a top-tier, mission-driven team If you're excited by deep technical challenges and meaningful impact, apply now or drop me a message directly to learn more! Principal Software Engineer (Backend) | Advanced Autonomy | London

New Role: Cyber, Data & Catastrophe Analyst | £70,000 As cyber continues to be one of the most attractive lines of business within Insurance, We have just received a role accommodating CAT specialists to make their entry into the Cyber space. Our client, one of the most valuable syndicates in insurance, is looking for an analyst to join their London-based team. I am looking to speak to CAT Analysts with around 3 years of experience. Tech wise - Ideally you'd have RMS/AIR as well as some Python/R & SQL skills. If interested, Send over a dm or your CV to

We are helping a Hedge Fund hire a Risk Officer in London, to oversee risk for our Long/Short equity and macro business. Your remit will include management of investment risk, counterparty risk, risk infrastructure, technology enablement, risk reporting and risk governance. Responsibilities: Investment Risk • Definition, calibration and maintenance of fund & SMA risk limits, • Intraday monitoring of trading/PnL/risk exposure, • Daily review and remediation of Partner fund and SMA breaches, • Build and maintain counterparty risk infrastructure for all funds with Technology & Operations teams, • Build and monitor basic reports and undertake daily reviews., • Continued development of risk analytics infrastructure, including:, • Historical VaR and scenarios, • Factor risk analytics/ axioma models, • Liquidity analysis Risk Reporting • Build and maintain periodic and ad hoc fund / PM / SMAs risk reports, • Build and maintain Investment/Risk Committee dashboards and risk reports for senior management, • Assist Compliance and Investor Relations as required with regulatory reporting, risk/performance/exposure queries, and any other data request required to support marketing activities and compliance reporting obligations. Requirements: • Significant experience (7 years+) managing risk within a fast-paced financial services business, • Excellent knowledge of financial markets with deep understanding of a broad set of asset classes including equities and derivatives, as well as credit and fixed income/rates, • Experience developing and implementing portfolio and position level hedging solutions, • Experience driving the development of firm wide risk policies and risk management frameworks, • Deep understanding and experience with Axioma / Barra equity factor models, • Quantitative/highly numerate background, • Strong communication skills, • Strong Python skills, experience with AI tools (Claude Code a plus)

Founding Engineer | Early-Stage Defence Start-Up | London Founding engineer required for an early-stage defence technology start-up building mission-critical systems with real-world impact. You’ll join at the ground floor, working directly with the founders to design, build, and deploy core technology from day one. This is a deeply hands-on role for someone who wants true ownership, technical depth, and end-to-end responsibility. You are • 4+ years of professional Software Development experience, • Proficient in Python, TypeScript, Rust, Go, Java or C++, • A true generalist - comfortable across backend, infrastructure, data, and automation, • Most effective in fast-paced, high-autonomy environments, • Obsessed with real world impact, • Interested in defence, aerospace, or national security technology Nice to have • Early-stage start-up experience, • Experience in robotics, embedded systems, ML, or real-time systems Why Join? • Competitive salary + significant founding-level equity, • Significant influence over product and technical direction, • Work on problems with genuine real-world impact, • Small, world class team with autonomy and trust If you want to build technology that actually matters, let's chat. Founding Engineer | Early-Stage Defence Start-Up | London

Im currently looking for a DevOps Engineer to join my client on a six-month contract. There is a strong possibility that this will extend. You will need to have experience with Azure DevOps, GitHub and Octopus. You will need to have knowledge how to connect to database and run SQL statements. Job Overview DevOps - Azure DevOps, Octopus, Github This is not a Data Engineering role - you will need to know how to connect to database and run SQL Statements Knowledge of Python Knowledge of Databases - Snowflake This contract is Inside IR35 and hybrid working Interviews are happening ASAP. If you would like to discuss this opportunity, call me Subeg Lehl or send me a latest copy of your CV.

Data Engineer (Permanent)Salary: Up to £70,000Location: London Victoria (1 day per week onsite, rest remote)The Role We are seeking a skilled Data Engineer to join a growing team delivering modern, scalable data solutions. This is a permanent opportunity offering a hybrid model, with one day per week in London Victoria and the remainder working remotely.You will play a key role in designing, building, and optimising data pipelines and platforms, supporting advanced analytics and business intelligence initiatives.Key Responsibilities • Design and develop scalable data pipelines and data processing solutions, • Work with modern data platforms such as Microsoft Fabric, Databricks, or similar technologies, • Build and optimise data solutions using Python, Spark, PySpark, and/or SQL, • Collaborate with stakeholders to ensure high-quality, reliable data architectureEssential Skills & Experience, • Hands-on experience with Microsoft Fabric, Databricks, or equivalent modern data platforms, • Strong coding experience in Python and/or Spark/PySpark, • Soli...

Applied AI Solution Engineer £80,000-£140,000 + Benefits Depending on Experience London with Flexible Working Are you passionate about building cutting-edge AI solutions that drive real business impact? Do you want to work with some of the world’s leading AI technologies? Our client helps enterprises harness the power of Generative AI—from crafting meaningful strategies to deploying production-ready AI solutions. As a Applied AI Solution Engineer, you'll be at the forefront of this revolution. What you’ll do: ✅ Work hands-on with Python, microservices, distributed systems, and LLMs ✅ Shape AI strategy, mentor engineers, and drive innovation across multiple projects ✅ Engage directly with senior stakeholders, explaining complex AI concepts in clear terms What we’re looking for: enterprise software development experience A track record of delivering scalable AI solutions Proven Experience in Large-Scale AI Deployments – Has played a key role in production-ready AI applications Expertise in LLMs – Skilled in fine-tuning, training, and prompt engineering AI Model Optimization – Strong knowledge of cost management, evaluation, and modification Solution Architecture – Can design and build AI solutions from scratch Client Engagement – Comfortable working with both technical and non-technical stakeholders Team Leadership & Mentorship – Can guide teams, translate high-level ideas into action plans, and drive innovation

Visualisation & Tools Analyst Central London - hybrid Salaries in the region of £44,000 DOE J13066 Candidates must have the right to work in the UK without sponsorship requirements A fantastic opportunity to work for a global strategy consulting firm, working with senior executives across the world on some of the most exciting strategic problems and questions. Specialising in technology, media, retail, B2B, private equity and more. Committed to fostering an inclusive culture in which people of all backgrounds can thrive. Encouraging applications from all, regardless of age, sexual orientation, gender identity or gender expression, transgender status, disability, marital status, pregnancy or maternity, religion or belief, race or ethnic origin, and socioeconomic background. Also have a number of staff network groups which actively support the inclusion of all of colleagues across the business. Joining a relatively new but established team, you will help to strengthen the ability to support both clients and internal projects. Duties • Reporting and tools explicitly made for internal use with no commercial purpose. This section is dominated by business intelligence reporting but also includes other elements, such as internal surveys., • Skills, • Working on-project client work that involves building end-to-end tools and ready-to-use reporting., • Work on larger projects which have a long term commercial purpose that will feed into multiple client project outputs. Taking the form of tools that do repeatable tasks or even as proprietary data set intended for client work long term., • Building user friendly tools that query third party API’s to understand client competitor market share Experience • Degree in a quantitative subject, • Exceptional quantitative and qualitative problem-solving skills, • Proficiency and working experience in Python and Excel, • Familiarity with writing readable, maintainable code. Strong data quality habits including: validation checks; deduping; handling imperfect data., • Curiosity-driven with a willingness to learn, • Self-starter mindset and can-do attitude, • Comfortable communicating and engaging internal and external stakeholders, • Collegial and collaborative working style If this role sounds right for you, please apply today. Alternatively, you can refer a friend or colleague by taking part in our excellent referral scheme. For every suitable candidate you introduce to us (with no limit) who is successfully placed, you will be eligible for our standard gift/voucher reward. Datatech is one of the UK’s leading recruitment agencies specialising in analytics and is the host of the critically acclaimed Women in Data event. For more information, please visit our website:

Surveillance Analytics Lead – Fixed Income London Our client, a leading FinTech firm at the heart of electronic trading platforms, are looking for a Surveillance Analytics Lead to help modernise and elevate a global Fixed Income surveillance framework. This is not a traditional alert-review role - the ideal candidate is a hands-on surveillance specialist who enjoys building, optimising and refining detection frameworks, shaping alert logic, and embedding data-driven methodologies across a complex trading environment. You will play a key role in transforming a legacy surveillance capability into a scalable, AI-ready, analytics-driven control framework. The environment is collaborative, cross-functional and strategically focused, with direct exposure to senior stakeholders and meaningful influence over future surveillance architecture. The Role • Design, calibrate and optimise surveillance alert scenarios across Fixed Income asset classes, • Reduce false positives while maintaining high detection sensitivity and regulatory robustness, • Integrate new business initiatives into the surveillance framework, • Prepare, clean and model large trade, order and market datasets, • Use Python (NumPy, Pandas, Matplotlib) and SQL to drive data-led insights and alert calibration, • Build expert-level Tableau dashboards for alert activity, calibration outcomes and executive reporting, • Support the evolution of AI-driven surveillance capabilities and data automation, • Influence stakeholders across Compliance, Technology, Risk and Front Office globally Core Requirements • Deep Fixed Income market knowledge (bonds, repos, swaps, credit derivatives), • Strong experience designing, tuning and calibrating trade surveillance alerts, • Advanced Python, SQL and Tableau capability (data preparation, analytics, visualisation), • Strong statistical knowledge (distributions, regression, clustering, anomaly detection), • Experience preparing structured and unstructured datasets for AI/ML applications This role sits between Surveillance Specialist and Surveillance Lead - offering immediate ownership and delivery responsibility, with a clear pathway into formal leadership as the function continues to scale.

Senior Data Modelling Consultant Location: UK (Hybrid)Permanent role, up to £88k + bonus + benefits We're working with a leading financial services consultancy to hire a Senior Data Modelling Consultant to support large-scale data transformation and migration programmes. This role offers the chance to work with major financial institutions on complex, high-impact data initiatives.Key Responsibilities: • Analyse business requirements to define data structures and usage* Develop and maintain conceptual, logical, and physical data models* Collaborate with architects and SMEs to design data solutions* Define data entities, relationships, and source-to-target mappings* Support data governance and ensure adherence to standards* Contribute to physical data model implementation Requirements: • Strong data modelling experience in financial services* Proven experience on data migration / transformation programmes* Expertise across conceptual, logical, and physical modelling* Strong stakeholder management skills* Experience working in Agile environments* Knowledge of UML, RDBMS, JSON/XML* Knowledge/experience of Erwin Desirable: • Knowledge of industry data standards (e.g. fpML, FIX, FIBO)* Experience with ontologies (RDF/OWL/TTL)* SQL and/or Python If interested please apply. To follow up on your application please email or drop me a message ...

Senior GenAI Platform Engineer / Senior AI/ML Platform Engineer Hybrid – London A rapidly scaling AI innovator is searching for an exceptional Senior GenAI / AI‑ML Platform Engineer to play a pivotal role in shaping and advancing their next‑generation intelligence platform. This organisation is building high‑performance, real‑time AI systems that support demanding financial and enterprise clients globally, and this position sits at the heart of their most advanced technical developments. The Role As a senior member of the platform engineering team, you will architect, build, and optimise the underlying infrastructure that powers cutting‑edge GenAI and machine learning workloads. This includes large‑scale model deployment, distributed systems design, high‑throughput data processing, and the creation of robust frameworks that enable rapid experimentation, safe iteration, and reliable productionisation of LLM‑ and ML‑driven features. This role is ideal for someone who thrives in fast‑moving environments, enjoys deep technical problem‑solving, and wants their work to have immediate real‑world impact. Responsibilities • Design and build scalable, production‑grade GenAI and ML platform components, • Develop infrastructure for training, fine‑tuning, evaluating, and deploying large models, • Create internal tooling enabling fast model experimentation and automated workflows, • Optimise and scale distributed systems and vector‑driven architectures, • Implement robust observability, reliability, and performance engineering practices, • Collaborate closely with data scientists, ML engineers, and product teams, • Champion platform best practices, architectural improvements, and automation What You’ll Bring • Extensive experience building and deploying distributed ML or LLM systems, • Expertise in Python, cloud platforms (AWS/GCP/Azure), and Kubernetes, • Strong knowledge of MLOps, model orchestration, and CI/CD for AI systems, • Background in embeddings, vector databases, LLM fine‑tuning, or inference optimisation, • Ability to balance high‑level architectural thinking with hands‑on engineering, • A mindset focused on performance, reliability, and scalability What’s On Offer • A chance to help define the technical direction of a rapidly growing AI product, • Complex technical challenges with direct impact, • Hybrid London working f you enjoy solving deep technical problems and want to build the infrastructure behind next‑generation AI intelligence systems, this is an opportunity worth exploring.

I’m working with one of our financial services client based in the London, and they’re looking for a "AI Augmented Engineering Lead" to join their team. The ideal candidate: • Enjoys experimentation and has a genuine passion for AI., • Drive adoption and utilisation of AI tools within the SDLC, Understand the development lifecycle and how AI can enhance each stage, Evaluate and experiment with new AI tools through POCs, determining how they can be implemented across., • Help improve engineering productivity and processes through AI-enabled development practices., • Core Experience in Devops, Cloud, Python, React & Javascript. If this sounds like an interesting opportunity to you, feel free to apply for this position or drop me your CV at

Lead Marketing Analyst London - Hybrid - 2 days per week in office Salary up to £85,000 The Company A purpose led ecommerce scale up with a strong marketplace presence and an expanding D2C proposition. They now operate across multiple regions and continue to invest heavily in data and analytics! The Role You will focus on understanding marketing performance across all digital channels and helping the business optimise acquisition, retention, and churn reduction. Key responsibilities include: • Designing, running, and analysing A/B tests to validate marketing effectiveness and customer behaviour., • Conducting deep dive analysis to identify which channels drive the highest value customers and why., • Partnering with marketing, product, and trading teams to translate insight into clear, actionable recommendations., • Building dashboards and reporting that make performance easy to track and optimise., • Working hands on with data to uncover trends, test ideas, and support fast paced decision making. Your Skills and Experience • Strong commercial experience using SQL, Python, and BI tools, • Skilled in experimentation design, A/B testing, and marketing performance analysis., • Comfortable working directly with senior stakeholders and explaining complex concepts clearly., • Hands-on, curious, and proactive in environments with pace, ambiguity, and ongoing change., • Customer-focused mindset with an interest in understanding behaviour, value, and lifecycle performance. What They Offer • Salary up to £85,000, • Hybrid working within modern Central London offices., • The chance to influence marketing strategy in a fast evolving, data driven environment., • Meaningful exposure to senior leaders and strong career development within a growing analytics team. How to Apply If this sounds like the right next step for you, please apply today.

Forward Deployed AI Engineer 🚀 High-Growth AI Start-Up 🚀 📍 UK (Remote-First, London Hub Opening Soon) 💰 Highly competitive 💲 Meaningful Equity with rapid earn-out potential (12-18 months!!) A venture-backed AI start-up is building one of the most compelling enterprise AI platforms currently emerging in Europe. The product is a full end-to-end platform that allows large enterprises to deploy AI agents quickly, securely and at scale, helping organisations turn AI ambition into real operational value. Following strong early traction with global enterprise customers and a rapidly expanding commercial pipeline, the business is now scaling its engineering team — creating a rare opportunity to join a company at the point where the product is moving from early adoption to widespread deployment. This offers the chance to earn out significant equity value at exceptional speed as the business continues to grow. This is a Forward Deployed Engineering role sitting at the intersection of product engineering and real-world AI deployment. You will work directly with enterprise customers to turn the platform into production-grade AI systems inside their environments, configuring agent workflows, integrating with complex data sources, and solving real operational problems. Unlike traditional consulting roles, you won’t simply deliver and walk away — the feedback and insight you generate in the field will directly shape the evolution of the core product. You will effectively operate as the bridge between the product team and the customer, ensuring that deployments move from proof-of-concept to mission-critical systems. What You’ll Be Doing • Deploying and configuring agent-based AI pipelines inside enterprise environments, • Building integrations with customer systems, data sources and infrastructure, • Developing custom tooling, connectors and workflows on top of the platform, • Diagnosing and resolving issues across the stack — from infrastructure and authentication through to agent orchestration, • Translating customer feedback into product improvements and new capabilities, • Working closely with the product and engineering teams to accelerate the platform’s evolution What They’re Looking For • Strong Python engineering experience working with production systems, • Experience building or deploying AI / ML systems in real environments, • Familiarity with RAG architectures (chunking strategies, embeddings, retrieval, reranking), • Backend development experience (FastAPI or similar frameworks), • Comfort working with AWS infrastructure (e.g. ECS, S3, API Gateway, Secrets Manager), • Engineers who enjoy working directly with customers and solving ambiguous problems, • Strong communication skills and high emotional intelligence Experience with agentic AI systems or orchestration frameworks would be advantageous, but curiosity and the ability to move quickly in new technical domains are equally valued. Why This Role Is Different Most AI roles today involve building prototypes that never make it into real workflows. This role is about making AI actually work inside major organisations. You will be: • Deploying systems that real users rely on daily, • Working directly with enterprise stakeholders solving high-impact operational problems, • Helping shape the product direction of a fast-growing AI company, • Joining early enough that your work can materially influence the company’s trajectory For ambitious engineers, it’s the type of environment where career progression and financial upside can compress dramatically. If you’re excited by the idea of taking cutting-edge AI systems from concept to real production environments, this is one of the most interesting opportunities currently emerging in the UK AI ecosystem.

Senior Data Engineer London (2 days per week in office) £80,000 – £90,000 + 15–30% bonus] We are partnering with a prestigious financial services firm building one of the most advanced Snowflake platforms in the UK. This is a high-impact role within a modern data engineering function focused on scalable data, AI enablement, and platform innovation. You will join a growing team, working hands-on across Snowflake while helping mentor junior engineers and shape best practice across the platform. Role Overview • Build and optimise data solutions in Snowflake, • Develop pipelines using Python and SQL, • Work across Snowpark, SnowSQL, Dynamic Tables, Cortex, • Support AI use cases using Snowflake Cortex, • Ensure strong data quality and governance standards, • Mentor junior Data Engineers and support onboarding, • Contribute to testing and rollout of new platform capabilities Essential Skills • Strong hands-on Snowflake experience (deep expertise required), • Excellent Python and SQL skills, • Experience building scalable data pipelines, • Strong understanding of data quality principles, • Comfortable mentoring junior team members Desirable • Experience with Snowflake Cortex / AI features, • Exposure to financial services or financial data environments, • Understanding of financial modelling or external data products Why Apply • Work on a market-leading Snowflake platform, • Exposure to AI-driven data engineering (Cortex), • High-growth team with strong technical investment, • Opportunity to shape junior engineers and platform direction Unfortunately, this role does not offer sponsorship.

At ScaleneWorks People Solutions, we're more than recruiters; we're career architects dedicated to connecting exceptional talent with top-tier opportunities. Backed by industry experts, we prioritize relationships, offer global opportunities, and champion your success every step of the way. Ready to shape your future? Explore opportunities with us today. We are looking for Python AI Engineer with Databricks exposure Role for our well-known client. • Location: London UK, • Type of Work: Hybrid (2-3 days from the office in a week), • Employment Type: FTE (Full Time Employment) or Inside IR35 Contract Overview We are looking for a Python AI Engineer (with Databricks exposure) with hands-on experience in Generative AI, backend development, and database-driven applications. The role involves designing and building AI-enabled applications, developing APIs and services to deploy AI models, and integrating them with enterprise databases and cloud platforms. The candidate should be comfortable working across AI solution design, backend development, and data engineering. Key Responsibilities • Design and develop AI and Generative AI applications using Python., • Build backend services and APIs using Flask or Django for AI-powered systems., • Work with enterprise databases (SQL-based systems) to ingest, transform, and manage large datasets., • Develop and integrate GenAI capabilities such as LLM-powered workflows, AI assistants, or automation tools., • Design scalable architectures for AI solutions including model deployment and data pipelines., • Build REST APIs and microservices to integrate AI models with enterprise applications., • Work with cloud platforms (Azure preferred) to deploy and scale AI applications., • Collaborate with data engineers, product teams, and domain experts to build production-grade AI solutions. Required Technical Skills • 7+ years of experience as a Python developer which atleast the last 3+ years have been on AI / GenAI solutions, • GenAI / AI development experience: LLM applications, AI workflows, or AI-enabled automation, • Python development: Strong coding and data processing experience, • SQL and database experience: Querying, data modeling, and data integration, • Backend frameworks: Django or Flask, • API development: RESTful services and microservice architecture, • AI system architecture / solution design: Designing scalable AI applications, • Cloud platforms: Azure AI services preferred, • Strong problem solving and analytical thinking, • Ability to work in cross-functional teams, • Good communication and collaboration skills Ready to Take the Next Step? If you're ready to embark on an exciting journey with ScaleneWorks, we’d love to hear from you! Submit your resume today and let’s unlock new possibilities together KRAZ nr. 28233

As data engineer, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications. About us Hexegic are a leading technical consultancy providing agile multi-disciplinary teams to high performing organisations. The company promises exciting, engaging and rewarding projects for those that are keen to develop and build a successful career. Core Responsibilities • Establishing new data integrations within the data foundation, • Conduct ETL activities as conducted by SMEs, • Configuring connections to other datasets within the data foundation, • Collaborate with SMEs to create, test and validate data models and outputs, • Set up monitoring and ensure data health for outputs What we are looking for • Proficiency in Python, with experience in Apache Spark and PySpark, • Previous experience with data analytics softwares, • Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you? • Base salary of £50,000-£60,000, • £5000 a year professional development budget, • Wellness program, • 25 days annual leave, • Hybrid working arrangements Please note that successful candidates must be eligible for UK security clearance

New Contract Opportunity for an eDV Cleared Data Engineer with a leading National Security Consultancy in London. • Active Enhanced DV Clearance required, • £680 p/d inside IR35, • 12-month engagement, • Full-time on-site in Central London The Role: You will design and deliver mission-critical data services for National Security clients. Working across AI, cyber security, cloud, big data and digital transformation initiatives, you will help shape the future of national security. You will build and manage robust data pipelines that convert raw, diverse data sources (batch, streaming, real-time and unstructured) into reliable, analysis-ready datasets, using distributed computing techniques to process data at scale. Responsibilities: • Design and build data ingestion pipelines and orchestration tooling., • Develop database schemas and data models., • Integrate and enrich data from multiple sources, ensuring quality and consistency., • Design and implement ETL processes (e.g. using NiFi)., • Write clean, secure, test-driven code that is reusable by default., • Maintain and enhance data ingestion and storage architectures., • Investigate and resolve data issues within operational environments., • Translate user needs into clear technical requirements, supporting backlog refinement into epics and stories., • Implement appropriate data security controls., • Monitor, maintain and optimise data platforms to ensure performance and reliability. Skills and Experience Required: • ETL development using Python or similar languages, • Apache Spark, NiFi, or Kafka, • Relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases, • AWS and cloud-based data services, • Palantir Foundry, • Stakeholder Engagement Why Apply? • Work on mission-critical UK Government projects with real-world impact, • Join a leading consultancy known for innovation and technical excellence, • Long-term engagement with competitive day rate and secure on-site environment

Senior Mobile Engineer (Flutter) North London (Hybrid- 4 days onsite) £100,000-£135,000 + Generous Equity + Strong Package Series A | High-Growth Tech We're partnered with one of Europe's fastest-scaling technology start-ups, fresh off a major Series A raise and building at extraordinary pace. This is not a typical mobile feature delivery role. This is an opportunity to help redefine how goods move in the digital economy- working at the intersection of mobile engineering, machine learning, and real-world operational systems. The Team • Close to 100 people globally and will be looking to almost double the team in 2026, • More than half in Engineering, Product and Data, • Culture built around experimentation, high standards and rapid feedback loops, • Cross-platform Flutter applications, • Will consider anyone from a native iOS/Android background who is happy to work in Flutter, • Backend systems built in Python, Rust and TypeScript, • Cloud-native architecture on GCP (BigQuery, Cloud Run), • Extensive use of ML modelling and LLM inference, • Robotics and IoT integrations across operational workflows<...

ROLE - Lead Actuary (Predictive Modelling) I am working with a leading insurer who is seeking a qualified actuary (3–5 years) to take on a high-impact role building out a predictive modelling capability from the ground up. This is a rare opportunity to join a team at an early stage to shape pricing strategy, technology, and ways of working. You will play a key role in establishing and scaling predictive pricing capabilities across multiple lines of business. You’ll combine technical expertise with leadership and stakeholder engagement to drive meaningful change. The Candidate - • Qualified actuary with 3–5 years’ post-qualified experience, • Strong background in pricing (Lloyd’s, Commercial Lines, or Personal Lines preferred), • Experience in predictive modelling and Python, • Strong communication skills and stakeholder management, • A proactive and driven individual Location: London (Hybrid) Salary: Up to £135,000 + benefits Sponsorship available If this role is of interest to you or anyone you know, please reach out via email at 𝙝𝙤𝙡𝙡𝙮.𝙚𝙡𝙡𝙚𝙣𝙩𝙝𝙤𝙧𝙥𝙚@𝙚𝙖𝙢𝙚𝙨𝙘𝙤𝙣𝙨𝙪𝙡𝙩𝙞𝙣𝙜.𝙘𝙤𝙢

Fullstack Developer ( Outside IR35).I am working with a fast scaling AI SaaS Platform, looking for Fullstack developers who can build end to end.They need expertise in Python Django, AWS & Typescript, and Engineers who are principally product focused, collaborative and can thrive in highly ambig