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About Us: Solytics Partners is a Global Analytics firm dedicated to revolutionizing Banking and Financial Services. We leverage cutting-edge technology and data-driven strategies to deliver exceptional value to our clients and enable them in their digital transformation journey through our suite of advanced analytics platforms and solutions for risk management, AML and regulatory compliance, ESG, and data science and analytics. \n\n\n We are looking for an experienced DevOps Engineer with a strong background in system administration and a deep understanding of Kubernetes and Anthos. The ideal candidate will have extensive experience with Linux OS and cloud platforms (preferably GCP, with AWS or Azure as alternatives). Architect and manage Kubernetes multi-region deployments to ensure optimal performance and reliability across geographical regions. \n Streamline build and deployment processes using Maven, Gradle, Jenkins, and/or TeamCity to achieve continuous integration and continuous delivery (CI/CD). \n Set up robust tracing and observability tools, such as Stackdriver, Prometheus, Grafana, and Jaeger, to monitor system health, performance, and reliability. \n Stay current with industry trends and best practices in DevOps, cloud computing, and container orchestration technologies. \n\n Proven experience of 10+ years as a DevOps Engineer or similar role with a strong background in system administration. \n Extensive experience with Linux OS, including administration, troubleshooting, and performance optimization. \n Proficiency in at least one cloud platform (GCP preferred, with AWS or Azure also acceptable).

High-impact Development Manager role within a modern, cloud-first investment group! We’re partnering with a leading private investment firm that has built one of the most forward-thinking engineering environments in European finance. The business is now looking for a Development Manager to lead a talented cross-functional engineering team, drive DevSecOps maturity, and evolve cloud architecture and delivery standards across the group. This is a highly visible, hands-on leadership role — ideal for an experienced Engineering or DevSecOps Lead who enjoys coaching teams, shaping technical direction, and delivering practical, secure, scalable software solutions. The Opportunity • Lead and mentor a team of software, data, and cloud engineers delivering high-value business platforms., • Define and evolve the firm’s DevSecOps strategy — embedding automation, observability, and security-by-design into every stage of development., • Drive best practice across CI/CD, container orchestration, and infrastructure-as-code using modern cloud tooling., • Partner with senior stakeholders to align engineering priorities with business objectives., • Promote modern delivery standards (DORA metrics, testing excellence, Agile maturity, code quality)., • Shape the technical roadmap and contribute hands-on to architecture and engineering where needed. Tech Environment AWS | Azure | Terraform | Kubernetes | Docker | TypeScript | Python | C# | React | Node.js | DataDog | GitLab | K6 | Event-driven & Microservices Architectures What We’re Looking For • Proven experience leading or managing cross-functional engineering teams (8–20+ engineers)., • Strong background in DevOps / DevSecOps, cloud infrastructure, or software engineering., • Deep understanding of CI/CD automation, observability, and infrastructure-as-code., • Experience working in modern, cloud-first environments (financial services or tech product backgrounds welcome)., • A collaborative leader who inspires technical excellence and encourages autonomy, accountability, and innovation. This role suits someone who thrives on blending technical depth with leadership — a manager who can guide engineers, set direction, and still stay close enough to the tools to make meaningful architectural impact. To learn more, reach out directly to or apply via LinkedIn.

Contract Role: Snowflake Data Architect / Consultant Location: London or Manchester (Hybrid – 2/3 days onsite pw)\n Duration: 6 months initial (poss extensions)\n Engagement: Outside IR35\n\n\n Overview \n We’re seeking a highly capable Snowflake Data Architect / Consultant to help design, optimise, and embed modern cloud data architectures. The role will blend strategic input, hands-on delivery, and technical leadership across data modelling, integration, and platform enablement. \n\n\n Key Responsibilities \n\n Platform Architecture \n Design and implement scalable data environments on Snowflake , ensuring performance, security, and reusability. \n Establish integration patterns between Snowflake and wider ecosystems including ETL/ELT tools , BI platforms, and cloud services (AWS, Azure, GCP). \n\n\n Delivery & Optimisation \n Lead migration and transformation initiatives using Snowpipe , Streams , Tasks , Snowpark , and related services. \n Optimise workloads for cost, performance, and governance within multi-cloud or hybrid environments. \n\n\n Enablement & Knowledge Transfer \n Mentor engineering and analytics teams to embed Snowflake best practices. \n Create documentation and reusable assets that support long-term client self-sufficiency. \n\n\n Strategic Advisory \n Contribute to the definition of enterprise data roadmaps, covering topics such as data mesh , data sharing , and AI/ML enablement . \n Collaborate with platform partners and stakeholders to align delivery with business outcomes. \n\n\n Advocacy & Continuous Improvement \n Act as a trusted advisor on Snowflake adoption challenges and opportunities. \n Feed insights from delivery into platform improvement and governance frameworks. \n\n\n Required Skills & Experience \n~ Proven experience architecting and implementing Snowflake solutions at scale. \n~ Strong background in data modelling , data pipelines , and performance tuning . \n~ Familiarity with modern ETL/ELT tooling , orchestration platforms, and BI integration. \n~ Experience working across AWS, Azure, or GCP data ecosystems. \n~ Excellent stakeholder communication and client-facing consulting capability. \n~[Optional: SnowPro Core or Advanced Architect certification preferred.]

We are seeking a skilled individual to lead our Data Science function within Planning Agent, our AI-powered advertising planning platform used daily by IPG agency teams. This role will shape the future of agentic AI in marketing technology, driving innovation in how planners interact with intelligent systems across optimization, allocation, and planning workflows. \n While the product is moving towards agentic, our agents remain grounded in machine learning and complex mathematical models (e.g., Success in this role depends on bridging the best of both worlds: machine learning models that provide structure and accuracy, and agentic systems that draw on unstructured inputs such as media briefs and contextual data. As the leader of our Data Science organization, you will oversee a team of 10+ senior data scientists distributed across Europe, guiding them in the design, implementation, and productizing of multi-agent workflows. While grounded in technical leadership, this role blends strategy and hands-on expertise: setting the data science roadmap, ensuring delivery at scale to build reliable, production-ready agents. \n\n You’ll serve as both a coach and an architect of the team, shaping best practices for data science in agentic systems, while partnering closely with Engineering and Product. \n\n Lead and manage a distributed team of data scientists embedded in cross-functional squads across the Planning organization. \n Define and communicate the long-term Data Science roadmap for agentic AI within Planning. \n Drive the design and deployment of multi-agent workflows using orchestration frameworks such as LangGraph, ensuring scalability, reliability, and measurable business impact. \n Partner with Product, Engineering, and stakeholders to align agentic AI capabilities with planner workflows and business objectives. \n Mentor and grow the Data Science team, fostering technical excellence, collaboration, and an iterative, prototype-driven culture. \n\n 8+ years of experience designing and deploying applied ML or AI systems into production, with at least 3+ years leading data science teams. \n~ Fluent in Python and a strong interest in general software engineering principles. \n~ You have worked with common python frameworks (Numpy, Pandas…) \n~ Demonstrated expertise with agentic AI systems , including orchestration frameworks (LangGraph preferred, LangChain or similar also considered). \n~ Strong foundation in classical machine learning and applied modeling techniques , including regression, classification, clustering, and practical experience with models used in econometrics or marketing measurement. \n~ Experience with agile development methodologies, such as Scrum or Kanban. \n\n\n AWS, Azure, GCP) and containerization technologies (e.g., Familiarity with DevOps practices and tools for continuous integration and deployment. \n Solid understanding of system design principles, scalability, and performance optimization. \n \n\n Acxiom is a customer intelligence company that provides data-driven solutions to enable the world’s best marketers to better understand their customers to create better experiences and business growth. A leader in customer data management , identity , and the ethical use of data for more than 50 years, Acxiom now helps thousands of clients and partners around the globe work together to create millions of better customer experiences, every day.

Project description \n\n We're looking for a skilled and driven Avaloq Software Engineer to join our Wealth Practice in the UK. In this role, you'll play a key part in designing, developing, and maintaining high-quality software and data structures to support our evolving data platforms. You'll collaborate across teams to support data migration, cleansing, enrichment, scripting, and reconciliation—ensuring we deliver reliable and scalable solutions. \n\n Responsibilities \n Your expertise in Avaloq technologies, database management, and software development—combined with a solid understanding of the Avaloq Enterprise-Wide Object Model—will be critical in shaping and enhancing our data capabilities. This is a fantastic opportunity to bring your passion for innovation into a fast-paced, dynamic environment where your impact will be tangible. \n\n Skills \n Must have \n You will have between 5+ years experience working as an Avaloq Developer. \n Mapping physical data from Avaloq and other platforms to the Enterprise Data Model, ensuring adherence to reference data standards and clear conceptual definitions. \n Experience with external API integration. \n Reviewing and optimizing Avaloq APDM outcomes, defining treatment strategies, and improving system performance. \n Integrating the Avaloq APDM with external data minimization orchestration tools. \n Supporting technical analysis and enhancements for Avaloq change requests and incidents. \n Building and maintaining synthetic data delivery routines for test environments. \n Managing market data ingestion into the Avaloq Core Platform (ACP) via third-party tools. \n\n Nice to have \n~ ACCP certification

We are seeking a skilled individual to lead our Data Science function within Planning Agent, our AI-powered advertising planning platform used daily by IPG agency teams. This role will shape the future of agentic AI in marketing technology, driving innovation in how planners interact with intelligent systems across optimization, allocation, and planning workflows. \n While the product is moving towards agentic, our agents remain grounded in machine learning and complex mathematical models (e.g., Success in this role depends on bridging the best of both worlds: machine learning models that provide structure and accuracy, and agentic systems that draw on unstructured inputs such as media briefs and contextual data. As the leader of our Data Science organization, you will oversee a team of 10+ senior data scientists distributed across Europe, guiding them in the design, implementation, and productizing of multi-agent workflows. While grounded in technical leadership, this role blends strategy and hands-on expertise: setting the data science roadmap, ensuring delivery at scale to build reliable, production-ready agents. \n\n You’ll serve as both a coach and an architect of the team, shaping best practices for data science in agentic systems, while partnering closely with Engineering and Product. \n\n Lead and manage a distributed team of data scientists embedded in cross-functional squads across the Planning organization. \n Define and communicate the long-term Data Science roadmap for agentic AI within Planning. \n Drive the design and deployment of multi-agent workflows using orchestration frameworks such as LangGraph, ensuring scalability, reliability, and measurable business impact. \n Partner with Product, Engineering, and stakeholders to align agentic AI capabilities with planner workflows and business objectives. \n Mentor and grow the Data Science team, fostering technical excellence, collaboration, and an iterative, prototype-driven culture. \n\n 8+ years of experience designing and deploying applied ML or AI systems into production, with at least 3+ years leading data science teams. \n~ Fluent in Python and a strong interest in general software engineering principles. \n~ You have worked with common python frameworks (Numpy, Pandas…) \n~ Demonstrated expertise with agentic AI systems , including orchestration frameworks (LangGraph preferred, LangChain or similar also considered). \n~ Strong foundation in classical machine learning and applied modeling techniques , including regression, classification, clustering, and practical experience with models used in econometrics or marketing measurement. \n~ Experience with agile development methodologies, such as Scrum or Kanban. \n\n\n AWS, Azure, GCP) and containerization technologies (e.g., Familiarity with DevOps practices and tools for continuous integration and deployment. \n Solid understanding of system design principles, scalability, and performance optimization. \n \n\n Acxiom is a customer intelligence company that provides data-driven solutions to enable the world’s best marketers to better understand their customers to create better experiences and business growth. A leader in customer data management , identity , and the ethical use of data for more than 50 years, Acxiom now helps thousands of clients and partners around the globe work together to create millions of better customer experiences, every day.

AI Engineer – Security Clearance Required We’re looking for a capable, curious, and hands-on AI Engineer to help deliver intelligent solutions to our UK-based clients using our in-house agentic AI platform. \n This role focuses on configuring, orchestrating, and integrating off-the-shelf LLMs, embeddings, vector databases, and toolchains — not model training or fine-tuning. You’ll help build intelligent, explainable, and secure systems that solve real customer problems. \n\n🧩 What You’ll Be Doing \n Design and deploy LLM-powered solutions on top of our core agentic AI platform \n Build task-oriented AI workflows using pre-trained LLMs, embeddings, vector search, and tool integrations \n Extend and adapt platform capabilities using Python \n Translate business and user needs into orchestrated AI behaviours and workflows \n Work closely with clients and delivery teams to shape solutions, from prototype to production \n Ensure solutions are modular, secure, and reliable — while maintaining clarity and traceability in decision logic \n\n✅ What You Must Bring \n~ UK-based and either hold SC clearance or be eligible and willing to go through clearance \n Strong experience in Python — capable of implementing algorithms and working with APIs, data structures, and logic flows \n~ Good understanding of machine learning concepts , LLMs , tokenisation , and vector-based semantic search \n~ Experience working with vector databases (e.g. Chroma, Weaviate, FAISS), and familiarity with relational or graph stores \n~ Hands-on experience using frameworks like LangChain , Haystack , or custom orchestration layers \n~ Ability to work independently and collaboratively across delivery and engineering teams \n\n🌟 Nice to Have \n Familiarity with ethical considerations, bias evaluation, and responsible AI deployment \n Light DevOps or scripting experience to support deployment or debugging \n\n Why This Role?\n This isn’t about training models — it’s about making them useful. You’ll help real users benefit from safe, practical AI without reinventing the wheel. Expect variety, challenge, and meaningful outcomes. \n\n UK-based only. No sponsorship available. SC clearance (or eligibility) is required.

Role Title: Senior Security AI Solution Architect / Consultant Duration: contract to run until 26/03/2026\n Location: London, Hybrid/ Flexible (Occasional travel to NW may be required)\n Our client is looking for a Snr Security AI Solution Architect/Consultant To support and deliver secure AI solutions within financial services. The architect will shape strategy, design future-state architecture, and deliver practical security capabilities for AI adoption, ensuring compliance with evolving regulations and maintaining a strong security posture. \n\n Assess “as-is” and “to-be” security architectures for AI Platforms, AI & GENAI Delivery Roadmaps. \n Share Security AI & GENAI Security Learnings & Subject Matter Expertise. \n Shape the short- & long-term AI Security Architecture Strategy incorporating regulation (EUAI Act), standards, framework & policy priorities. \n Develop architectural documentation for AI security initiatives. \n Support the delivery of the AI Security Architecture Strategy across both internal & external stakeholders to Security. \n Ensure there is a fit for purpose set of Functional and Non-Functional Requirements for project technology deliveries \n Endpoint, Cloud, Network, etc.) Ensure there is an architectural vision for all projects that at minimum has a component architecture and high-level business process defined (including the product owner and operational team)\n Ensure architecture artifacts allow to us to quickly answer and evidence routine regulatory queries and attestations \n Ensure there is a fit for purpose set of Functional and Non-Functional Requirements for project technology deliveries \n Ensure that projects have correctly aligned scope to Cyber Excellence Programmes and technology/platform strategy \n Survey emerging threats and emerging technologies to identify opportunities for targeted innovation exercises such Proof of Value evaluations \n Proven experience as a Security Solution Architect \n Deep understanding of AI and Generative AI technologies. \n Deep understanding of AI and Generative AI Security Capabilities. \n Knowledge of infrastructure and cloud security (AWS; Artificial Intelligence \n Data Security within AI Systems \n Machine Learning \n AI Operation \n IT Infrastructure, Cloud \n Risk and Regulation \n Experience in financial services environments. \n Ability to work across both strategic (roadmaps, future planning) and tactical (delivery, hands-on execution) levels. \n Experience with regulatory compliance in AI and security, especially EU AI Act. \n Previous work on securing AI models and platforms (model trust, data security, usage monitoring). \n AI & GenAI Architecture: Design and implementation of AI factories, pipelines, and modular platforms across regulated environments. \n GenAI System Design and Implementation: End to end delivery of AI and GenAI systems using modern architecture techniques including LLM optimisation, RAG and Agentic design. \n AI Risk Management & Governance: Development of bespoke risk frameworks, taxonomies, and AI control libraries tailored to MRM, CRO, and CDO functions. \n Responsible & Ethical AI: Integration of RAI principles into system design, controls, audit frameworks, and enterprise AI strategies. \n Cyber & Resilience in AI: Embedding threat modelling, adversarial robustness, data integrity, and continuity planning into AI solution architecture. \n AI Enablement & Delivery: End-to-end AI lifecycle orchestration including readiness assessments, regulatory reviews, and business adoption. \n Emerging Technology Strategy: Digital responsibility, AI assurance, and horizon scanning for next-gen regulatory, legal, and societal risks.

AWS Solution Architect Hybrid - Multiple On-site Locations, London, Newcastle, Manchester \n Initially 6 Month Contract - Extension Likely \n Start Date - As soon as possible \n\n We're looking for a talented AWS Solution Architect with strong expertise in cloud architecture, data solutions, and container orchestration. You’ll design scalable, secure systems and guide teams in leveraging AWS and AKS to deliver high-impact solutions. \n\n Key Responsibilities: \n Architect and implement AWS cloud solutions with a focus on data pipelines and analytics \n Design and deploy containerized applications using AKS and Kubernetes \n Ensure best practices in cloud security, scalability, and performance \n Collaborate with cross-functional teams to translate business needs into technical solutions \n\n Skills & Experience: \n Proven experience with AWS services (EC2, S3, Lambda, RDS, etc.)\n Strong knowledge of data architecture (Redshift, Glue, Athena, etc.)\n Hands-on experience with AKS and Kubernetes \n Familiarity with DevOps tools and CI/CD pipelines \n AWS certification preferred \n\n Please send your up-to-date CV for immediate consideration.

About Us: Solytics Partners is a Global Analytics firm dedicated to revolutionizing Banking and Financial Services. We leverage cutting-edge technology and data-driven strategies to deliver exceptional value to our clients and enable them in their digital transformation journey through our suite of advanced analytics platforms and solutions for risk management, AML and regulatory compliance, ESG, and data science and analytics. \n\n\n We are looking for an experienced DevOps Engineer with a strong background in system administration and a deep understanding of Kubernetes and Anthos. The ideal candidate will have extensive experience with Linux OS and cloud platforms (preferably GCP, with AWS or Azure as alternatives). Architect and manage Kubernetes multi-region deployments to ensure optimal performance and reliability across geographical regions. \n Streamline build and deployment processes using Maven, Gradle, Jenkins, and/or TeamCity to achieve continuous integration and continuous delivery (CI/CD). \n Set up robust tracing and observability tools, such as Stackdriver, Prometheus, Grafana, and Jaeger, to monitor system health, performance, and reliability. \n Stay current with industry trends and best practices in DevOps, cloud computing, and container orchestration technologies. \n\n Proven experience of 10+ years as a DevOps Engineer or similar role with a strong background in system administration. \n Extensive experience with Linux OS, including administration, troubleshooting, and performance optimization. \n Proficiency in at least one cloud platform (GCP preferred, with AWS or Azure also acceptable).

Data & Technology Lead London (3 days in Office) | Up to £70,000 + Bonus \n\n I’m working with an employee-owned media agency that’s looking for a hands-on Data & Technology Lead to take ownership of their data engineering and automation capabilities. \n This role will focus on building and optimising data pipelines, shaping data architecture, and driving the use of AI and automation across the business. You’ll also mentor a small team and play a key part in developing the agency’s future data strategy. \n\n Strong background in data engineering – Python, SQL, and cloud platforms (GCP or Azure). \n Experience designing or managing data pipelines and ETL processes . \n Exposure to orchestration tools such as dbt , Airflow , or Azure Data Factory . \n Good understanding of data architecture and automation . \n This is a great opportunity for a senior data professional who enjoys being hands-on while helping shape how data and AI are used across a fast-moving, creative business.

Attribution Search is partnering with a leading Multi-Strat Global Hedge Fund to hire a Production Engineer within its London office. \n The fund manages over $15bn with a long track record for stable, year-on-year performance. This is an opportunity to join a growing team, while working alongside senior partners who have been there since its launch. \n\n You'll join the fund's global technology team, where you will focus on the resilience, automation and observability of production systems that power a mission-critical quantitative trading platform. Build and maintain automated tools to support system deployments, monitoring, alerting, and operational workflows. \n Take ownership of, and improve incident response, root cause analysis, and blameless post-mortems. \n Collaborate with trading, operations, and quant teams, as well as external vendors, to troubleshoot and optimise production environments \n\n 3+ years’ experience in a production-facing engineering or reliability role within financial services or another high-availability technology environment. \n~ Strong track record in automation, monitoring, and incident response for distributed or mission-critical systems. \n~ Proficiency in scripting and systems programming. \n~ Hands-on experience with configuration management, containerisation, and orchestration tools. \n\n\n Programming & Scripting: Strong proficiency in Python (core requirement), with additional experience using T-SQL and Bash. \n Exposure to Linux and Windows environments, with working knowledge of Docker containers and AWS cloud services. \n Monitoring & Observability: Familiarity with DataDog, Grafana, and other internal or custom monitoring solutions. \n Automation & CI/CD: Experience using Git, TeamCity, and configuration management tools such as Ansible or Terraform. \n Databases: Hands-on experience with Microsoft SQL Server and Snowflake.

Insurance Lead Sector Architect – Senior Manager Location: London \n Salary: £100,000 – £120,000 + £6,000 car allowance + 10% bonus \n\n About the Role \n We are seeking an experienced Insurance Lead Sector Architect at Senior Manager level to play a pivotal role in shaping and delivering technology-enabled business platforms for Tier 1 insurance clients. This is an opportunity to design visionary target architectures, drive complex transformations, and foster innovation across cloud, data, and AI within the insurance sector. \n\n Key Responsibilities \n Architect and deliver end-to-end technology solutions for major insurance clients. \n Develop sector-specific reference assets, target platforms, and strategic roadmaps. \n Provide technical oversight across multiple programmes, ensuring architectural vision is realised. \n Mentor and grow future architects within the team, accelerating capability development. \n Lead innovation initiatives in areas such as cloud, data, AI orchestration, and new technologies. \n Collaborate with senior client stakeholders to bring fresh perspectives and accelerate business strategies. \n Support business development activities alongside client delivery and practice expansion. \n\n What We’re Looking For \n Exceptional expertise in insurance sector business and technology architecture . \n Proven ability to design and implement technology-enabled business platforms. \n Strong background in end-to-end solution architecture and enterprise architecture . \n Leadership experience in managing multidisciplinary teams on complex transformations. \n Familiarity with the sector’s vendor landscape and relevant certifications (e.g. TOGAF, SAFe). \n Industry certifications (e.g. Guidewire Certified Specialist, Salesforce Financial Services Cloud) highly desirable. \n Understanding of insurance regulations such as Solvency UK and FCA consumer duty . \n Strong knowledge of cloud, data, and AI technologies. \n Excellent communication and stakeholder management skills, from C-suite to operational level. \n\n What’s on Offer \n~ Competitive base salary of £100,000 – £120,000. \n10% annual bonus. \n~ Career progression within a growing architecture and consulting practice. \n~ Access to continuous training, certifications, and professional development. \n\n\n This is an exciting opportunity for a seasoned architect to lead complex transformations in the insurance sector, combining technical depth, strategic vision, and client leadership to deliver real business impact.

Senior Software Engineer / Developer (Python FastAPI Data) London to £90k \n Are you a data centric Software Engineer with strong Python and SQL skills? \n You could be progressing your career in a senior, hands-on role at a fast growing, global Insurance Underwriting technology provider that focusses on developing a complex SaaS calculation platform for rapidly growing Cybersecurity insurance markets. \n As a Senior Software Engineer you will design and develop data centric backend services for the core platform with a focus on Python coding and building FastAPIs within an Azure environment with Databricks. You'll participate in the design and implementation of advanced mechanisms for data ingestion, transformation, mass parallel orchestration of network IO and will model data for a variety of purposes. \n Location / WFH: \n There's a hybrid work from home model with three days a week in the high spec London, City office with rooftop bar. \n You have strong Python backend software engineering skills \n You have experience of building FastAPIs \n You have a good knowledge of public cloud services, they're using Azure but experience with AWS or GCP is fine \n You have experience of working with data at scale \n You have strong SQL skills (PostgreSQL, SQL Server and ideally Databricks, or happy to learn it)\n You have a thorough knowledge of Computer Science fundamentals including Data Structures, Design Patterns, OOP \n As a Senior Software Engineer you will receive a competitive package: \n \n~ Salary to £90k + bonus \n Private Medical Insurance (including dental and optical cashback)\n~ Life Insurance, Income Protection \n~ Pension \n~ Subsidised gym membership \n~ Season ticket loan \n~ Employee Assistance Programme \n~ Impactful role with great career progression \n\n Apply now to find out more about this Senior Software Engineer / Developer (Python FastAPI Data) opportunity. \n At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

AI Engineer - Defence RAG Systems ( Security Clearance Essential ) On Site 2 X Days a week Plymouth - willingness to undergo DV if required \n\n Role Overview \n Defence client requires an SC Cleared AI Engineer to build fully on-premises RAG systems using open-source technologies. You'll develop classified AI capabilities on air-gapped infrastructure with zero external dependencies. \n \n\n Key Responsibilities \n- Build end-to-end RAG pipelines on isolated defence networks using open-source LLMs (Llama 3, Mistral, Qwen)\n- Deploy local vector stores (Chroma, FAISS, Milvus) with sensitive document ingestion pipelines \n- Host and optimise LLMs using vLLM/TGI on local GPU clusters without internet connectivity \n- Implement agent orchestration using LangChain/LangGraph in completely offline environments \n- Design secure document processing for classified materials with appropriate data sanitisation \n- Build monitoring and evaluation systems that operate within air-gapped infrastructure \n \n\n Essential Requirements \n- Active SC Clearance (non-negotiable) - willingness to undergo DV if required \n- Demonstrable experience deploying open-source LLMs (Llama, Mistral, Falcon) on-premises \n- Expertise with local vector databases (Chroma, FAISS, Weaviate) in offline deployments \n- Strong vLLM/Text Generation Inference experience for high-throughput model serving \n- Proven ability to work on air-gapped systems with no external package repositories \n- Experience with GPU orchestration (NVIDIA A100/H100) and CUDA optimisation \n- Python expertise with offline dependency management and local package mirrors \n \n\n Technical Stack (All On-Premises)\n Models: Llama 3, Mistral, Qwen (locally hosted)\n Vector Stores: Chroma, FAISS, Milvus \n Orchestration: LangChain, LangGraph for agents \n Hosting: vLLM, TGI, Ollama on bare metal/private cloud \n Infrastructure: Air-gapped Kubernetes, local container registries \n \n\n Desirable Skills \n- Experience with defence/government IT security protocols \n- Knowledge of CIS benchmarks and NCSC guidelines \n- Familiarity with cross-domain solutions and data diodes \n- Understanding of classification marking and handling procedures

Data & Technology Lead London (3 days in Office) | Up to £70,000 + Bonus \n\n I’m working with an employee-owned media agency that’s looking for a hands-on Data & Technology Lead to take ownership of their data engineering and automation capabilities. \n This role will focus on building and optimising data pipelines, shaping data architecture, and driving the use of AI and automation across the business. You’ll also mentor a small team and play a key part in developing the agency’s future data strategy. \n\n Strong background in data engineering – Python, SQL, and cloud platforms (GCP or Azure). \n Experience designing or managing data pipelines and ETL processes . \n Exposure to orchestration tools such as dbt , Airflow , or Azure Data Factory . \n Good understanding of data architecture and automation . \n This is a great opportunity for a senior data professional who enjoys being hands-on while helping shape how data and AI are used across a fast-moving, creative business.

AI Engineer – Security Clearance Required We’re looking for a capable, curious, and hands-on AI Engineer to help deliver intelligent solutions to our UK-based clients using our in-house agentic AI platform. \n This role focuses on configuring, orchestrating, and integrating off-the-shelf LLMs, embeddings, vector databases, and toolchains — not model training or fine-tuning. You’ll help build intelligent, explainable, and secure systems that solve real customer problems. \n\n🧩 What You’ll Be Doing \n Design and deploy LLM-powered solutions on top of our core agentic AI platform \n Build task-oriented AI workflows using pre-trained LLMs, embeddings, vector search, and tool integrations \n Extend and adapt platform capabilities using Python \n Translate business and user needs into orchestrated AI behaviours and workflows \n Work closely with clients and delivery teams to shape solutions, from prototype to production \n Ensure solutions are modular, secure, and reliable — while maintaining clarity and traceability in decision logic \n\n✅ What You Must Bring \n~ UK-based and either hold SC clearance or be eligible and willing to go through clearance \n Strong experience in Python — capable of implementing algorithms and working with APIs, data structures, and logic flows \n~ Good understanding of machine learning concepts , LLMs , tokenisation , and vector-based semantic search \n~ Experience working with vector databases (e.g. Chroma, Weaviate, FAISS), and familiarity with relational or graph stores \n~ Hands-on experience using frameworks like LangChain , Haystack , or custom orchestration layers \n~ Ability to work independently and collaboratively across delivery and engineering teams \n\n🌟 Nice to Have \n Familiarity with ethical considerations, bias evaluation, and responsible AI deployment \n Light DevOps or scripting experience to support deployment or debugging \n\n Why This Role?\n This isn’t about training models — it’s about making them useful. You’ll help real users benefit from safe, practical AI without reinventing the wheel. Expect variety, challenge, and meaningful outcomes. \n\n UK-based only. No sponsorship available. SC clearance (or eligibility) is required.

Machine Learning Engineer (Conversational AI) Clearance: BPSS Eligible \n Start: ASAP \n Work pattern: Hybrid \n Work type: 12 month FTC (Competitive Salary)\n\n Amber Labs are supporting a major government programme focused on transforming public services through the use of AI and automation. This programme is shaping how people interact with digital services across departments — improving accessibility, efficiency, and user experience. \n\n We’re looking for a Machine Learning Engineer (Conversational AI) to help design and build advanced conversational and agentic AI solutions. You’ll work with multi-disciplinary teams to deliver innovative AI-driven tools and services that make a real impact on the public sector. \n\n Key Responsibilities: \n Design and develop conversational AI workflows using frameworks such as LangChain or LlamaIndex . \n Fine-tune and optimise Large Language Models (LLMs) for performance, accuracy, and cost efficiency. \n Build evaluation pipelines to ensure model reliability and stability. \n Develop secure and scalable Python applications and RESTful APIs (FastAPI, Django REST Framework). \n Integrate AI services and foundation models from providers such as Azure AI , Amazon Bedrock , and Google Vertex AI . \n Work with vector databases and retrieval mechanisms to enhance accuracy and context. \n Collaborate with data, design, and engineering teams to improve model reasoning and user experience. \n\n Skills & Experience: \n Strong hands-on experience deploying ML models in production environments. \n Excellent programming skills in Python and familiarity with ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Pandas). \n Practical experience with RAG or agentic AI frameworks (LangChain, LlamaIndex). \n Experience working with LLM APIs (e.g. Hugging Face, OpenAI). \n Exposure to conversational AI platforms (Dialogflow, Lex, Rasa, etc.). \n Ability to work collaboratively in fast-paced, agile, and multidisciplinary environments. \n Excellent communication skills and a strong interest in the application of AI in public services. \n\n Desirable: \n Experience with multi-agent orchestration (LangGraph, AutoGen, CrewAI). \n Familiarity with AI observability tools (TruLens, Helicone). \n Awareness of AI safety and reliability frameworks (Guardrails AI). \n Experience working in government or public sector digital projects .

Data Engineer Location: Job Type: Full Time \n\n We’re partnered with a well-funded early-stage tech company that’s using data and AI to bring greater financial intelligence to complex, data-heavy industries. They’re looking for a Data Engineer to help design and scale the core systems that power their platform - turning fragmented data into meaningful insights. You’ll work closely with technical leadership to build robust, modern data pipelines and play a key role in shaping how the product evolves from the inside out. \n\n Build and scale data pipelines across multiple systems and data types. \n Design and optimise data workflows for high performance and reliability. \n Collaborate closely with product and commercial teams to deliver data-driven features. \n Take ownership of end-to-end projects — from concept through to deployment. \n 2–3+ years’ experience as a Data Engineer or similar. \n~ Strong background with the modern data stack (e.g. Skilled in SQL, data modelling, and pipeline orchestration. \n~ A genuine interest in building technology that makes real-world systems smarter and more efficient. \n\n Shape key data infrastructure powering intelligent decision-making. \n Salary up to £100,000, depending on experience and impact. \n\n At Stockford Recruitment, we help startups and SMEs grow by connecting them with exceptional tech talent.

AI Engineer – Security Clearance Required We’re looking for a capable, curious, and hands-on AI Engineer to help deliver intelligent solutions to our UK-based clients using our in-house agentic AI platform. \n This role focuses on configuring, orchestrating, and integrating off-the-shelf LLMs, embeddings, vector databases, and toolchains — not model training or fine-tuning. You’ll help build intelligent, explainable, and secure systems that solve real customer problems. \n\n🧩 What You’ll Be Doing \n Design and deploy LLM-powered solutions on top of our core agentic AI platform \n Build task-oriented AI workflows using pre-trained LLMs, embeddings, vector search, and tool integrations \n Extend and adapt platform capabilities using Python \n Translate business and user needs into orchestrated AI behaviours and workflows \n Work closely with clients and delivery teams to shape solutions, from prototype to production \n Ensure solutions are modular, secure, and reliable — while maintaining clarity and traceability in decision logic \n\n✅ What You Must Bring \n~ UK-based and either hold SC clearance or be eligible and willing to go through clearance \n Strong experience in Python — capable of implementing algorithms and working with APIs, data structures, and logic flows \n~ Good understanding of machine learning concepts , LLMs , tokenisation , and vector-based semantic search \n~ Experience working with vector databases (e.g. Chroma, Weaviate, FAISS), and familiarity with relational or graph stores \n~ Hands-on experience using frameworks like LangChain , Haystack , or custom orchestration layers \n~ Ability to work independently and collaboratively across delivery and engineering teams \n\n🌟 Nice to Have \n Familiarity with ethical considerations, bias evaluation, and responsible AI deployment \n Light DevOps or scripting experience to support deployment or debugging \n\n Why This Role?\n This isn’t about training models — it’s about making them useful. You’ll help real users benefit from safe, practical AI without reinventing the wheel. Expect variety, challenge, and meaningful outcomes. \n\n UK-based only. No sponsorship available. SC clearance (or eligibility) is required.

I'm currently supporting a client of mine in their search for a Digital Manager! This Digital Manager will be at the forefront of developing and managing innovative digital platforms that power smarter, faster, and more connected operations. \n Job Title: Digital Manager \n Salary: Up to £70,000\n Type: Permanent \n Day-to-Day: \n Spearhead the creation of custom business applications using low-code technologies within the Microsoft Power Platform suite, including tools for automation, analytics, and virtual assistance. \n Develop and implement intelligent automation and AI-driven solutions to optimize operational efficiency and reduce manual processes across the organization. \n Lead the design and orchestration of modern data integration workflows using cloud-native platforms such as Azure Data Factory and Matillion for efficient data movement and transformation. \n Requirements: \n Technical Proficiency: \n Deep understanding of Microsoft Power Platform ecosystem. \n Skilled in leveraging cloud technologies such as Azure for infrastructure and data solutions, with hands-on experience in Snowflake, and QlikSense for modern analytics and data transformation. \n Leadership Capabilities: \n Demonstrated success in leading multidisciplinary IT teams, fostering collaboration across technical and business functions. \n Adept at managing relationships with stakeholders at all levels, ensuring alignment between technology initiatives and organizational goals. \n \n\n \n McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Senior DevOps Engineer (MLOps / LLMOps) Clearance: Eligible for BPSS \n Start: ASAP \n Work pattern: Hybrid (London)\n Work type: 12 month FTC (Competitive Salary)\n\n We’re working with a major UK government initiative that’s shaping the future of how citizens interact with public services. The programme focuses on harnessing the latest AI technologies to deliver simpler, faster, and more efficient digital experiences across departments. \n We’re looking for an experienced Cloud & DevOps Engineer to join the AI Customer Experience team - a multidisciplinary group driving innovation in Generative AI, conversational interfaces, and automation. You’ll design, build, and manage the infrastructure that powers large-scale AI services and agentic workflows across government systems. \n\n Key Responsibilities \n Design and provision secure, scalable cloud infrastructure (AWS, Azure, or GCP) using Python-based Infrastructure as Code (Terraform or Pulumi). \n Build and optimise CI/CD pipelines to automate the deployment of AI applications and models (MLOps / LLMOps). \n Containerise workloads using Docker and manage deployments through Kubernetes (KubeRay, Kubeflow, MLRun, or similar). \n Provision and manage the infrastructure required to run AI workloads, including vector databases and hyperscaler AI services. \n Develop automation scripts in Python to streamline operations and reduce manual tasks. \n Implement comprehensive monitoring, logging, and alerting to maintain high system reliability and performance. \n Provide technical support for complex issues and advise on modern engineering practices for large-scale projects. \n Skills & Experience \n Strong background as a DevOps or Cloud Engineer in public cloud environments (AWS, Azure, or GCP). \n Experience deploying and managing infrastructure for AI/ML workloads using MLOps or LLMOps practices. \n Excellent scripting and automation skills in Python (e.g. Boto3, SDKs). \n Proven experience with Python-based IaC frameworks (Pulumi, Terraform, CDKs). \n Hands-on experience building CI/CD pipelines for AI deployments (Github Actions, MLFlow, ZenML, or similar). \n Deep understanding of containerisation and orchestration tools (Docker, Kubernetes). \n Desirable \n Experience deploying AI inference engines (vLLM, Ray Serve, Triton). \n Familiarity with observability tools for LLMs (TruLens, Helicone, LangSmith). \n Understanding of AI safety and reliability frameworks (Guardrails AI). \n This is an exciting opportunity to help define the infrastructure powering the next generation of AI-driven public services. If you have the experience and passion to work on impactful projects within government, we’d love to hear from you.

Project description \n\n We're looking for a skilled and driven Avaloq Software Engineer to join our Wealth Practice in the UK. In this role, you'll play a key part in designing, developing, and maintaining high-quality software and data structures to support our evolving data platforms. You'll collaborate across teams to support data migration, cleansing, enrichment, scripting, and reconciliation—ensuring we deliver reliable and scalable solutions. \n\n Responsibilities \n Your expertise in Avaloq technologies, database management, and software development—combined with a solid understanding of the Avaloq Enterprise-Wide Object Model—will be critical in shaping and enhancing our data capabilities. This is a fantastic opportunity to bring your passion for innovation into a fast-paced, dynamic environment where your impact will be tangible. \n\n Skills \n Must have \n You will have between 5+ years experience working as an Avaloq Developer. \n Mapping physical data from Avaloq and other platforms to the Enterprise Data Model, ensuring adherence to reference data standards and clear conceptual definitions. \n Experience with external API integration. \n Reviewing and optimizing Avaloq APDM outcomes, defining treatment strategies, and improving system performance. \n Integrating the Avaloq APDM with external data minimization orchestration tools. \n Supporting technical analysis and enhancements for Avaloq change requests and incidents. \n Building and maintaining synthetic data delivery routines for test environments. \n Managing market data ingestion into the Avaloq Core Platform (ACP) via third-party tools. \n\n Nice to have \n~ ACCP certification

Senior DevOps Engineer (MLOps / LLMOps) Clearance: Eligible for BPSS \n Start: ASAP \n Work pattern: Hybrid (London)\n Work type: 12 month FTC (Competitive Salary)\n\n We’re working with a major UK government initiative that’s shaping the future of how citizens interact with public services. The programme focuses on harnessing the latest AI technologies to deliver simpler, faster, and more efficient digital experiences across departments. \n We’re looking for an experienced Cloud & DevOps Engineer to join the AI Customer Experience team - a multidisciplinary group driving innovation in Generative AI, conversational interfaces, and automation. You’ll design, build, and manage the infrastructure that powers large-scale AI services and agentic workflows across government systems. \n\n Key Responsibilities \n Design and provision secure, scalable cloud infrastructure (AWS, Azure, or GCP) using Python-based Infrastructure as Code (Terraform or Pulumi). \n Build and optimise CI/CD pipelines to automate the deployment of AI applications and models (MLOps / LLMOps). \n Containerise workloads using Docker and manage deployments through Kubernetes (KubeRay, Kubeflow, MLRun, or similar). \n Provision and manage the infrastructure required to run AI workloads, including vector databases and hyperscaler AI services. \n Develop automation scripts in Python to streamline operations and reduce manual tasks. \n Implement comprehensive monitoring, logging, and alerting to maintain high system reliability and performance. \n Provide technical support for complex issues and advise on modern engineering practices for large-scale projects. \n Skills & Experience \n Strong background as a DevOps or Cloud Engineer in public cloud environments (AWS, Azure, or GCP). \n Experience deploying and managing infrastructure for AI/ML workloads using MLOps or LLMOps practices. \n Excellent scripting and automation skills in Python (e.g. Boto3, SDKs). \n Proven experience with Python-based IaC frameworks (Pulumi, Terraform, CDKs). \n Hands-on experience building CI/CD pipelines for AI deployments (Github Actions, MLFlow, ZenML, or similar). \n Deep understanding of containerisation and orchestration tools (Docker, Kubernetes). \n Desirable \n Experience deploying AI inference engines (vLLM, Ray Serve, Triton). \n Familiarity with observability tools for LLMs (TruLens, Helicone, LangSmith). \n Understanding of AI safety and reliability frameworks (Guardrails AI). \n This is an exciting opportunity to help define the infrastructure powering the next generation of AI-driven public services. If you have the experience and passion to work on impactful projects within government, we’d love to hear from you.

Multiple Junior SRE / DevOps / Linux Engineers | Systematic Trading Firm | Up to £125,000 TC \n A high-growth systematic trading firm are actively looking to make a large number of junior hires across there technology function spanning SRE, DevOps, and Linux Engineering. Over £100bn AUM – trading a diverse range of asset classes across global markets \n Software firm first – massively data and tech driven; ML/AI integrated across all trading strategies \n Significant infrastructure investment – scaling networking, compute, and storage to support large-scale software growth \n Benefits: Free lunch and snacks, 10% pension, life insurance, educational reimbursement, no non-compete \n\n SRE / DevOps Team \n Observability – Drive platform visibility using Python, Elasticsearch, Prometheus, Grafana \n DevTools – Enhance developer experience, building automation and CI/CD pipelines in GitLab \n Database – Improve database automation and performance using Python \n Up to 4 years’ experience in DevOps, SRE, or Platform Engineering \n Scripting in Python or Bash \n BSc in Computer Science, Engineering, or related field \n Experience with Git and Linux environments \n Bonus: GitLab, Docker, Ansible, Terraform, HPC/Orchestration (Slurm/K8s), Prometheus, Grafana, Kibana, Datadog, Elasticsearch, Logstash \n\n Linux Engineering / DevOps Team \n Work across both Linux infrastructure management and DevOps engineering, supporting large-scale distributed compute environments and multi-petabyte storage systems. \n50% DevOps – automation, monitoring, and GCP migration initiatives \n~ Troubleshoot hardware and software issues, driving efficiency and reliability improvements \n\n\n Up to 4 years’ Linux administration experience (RHEL preferred)\n Scripting experience in Python, Ruby, or Bash \n BSc in Computer Science, Engineering, or related field \n Bonus: Ansible, Chef, Puppet, GCP, Prometheus, Grafana, Kibana, Datadog, Elasticsearch, Logstash, Kafka, Kubernetes \n\n This is a rare opportunity to join one of the most advanced systematic trading environments globally, building exposure to cutting-edge infrastructure, large-scale distributed systems, and next-generation automation practices — all within a highly collaborative, technology-first culture.

Locations: London Amsterdam Brussels Who We Are Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. About BCG Platinion BCG Platinion's presence spans across the globe, with offices in Asia, Europe, and South and North America. We achieve digital excellence for clients with sustained solutions to the most complex and time-sensitive challenge. We guide clients into the future to push the status quo, overcome tech limitations, and enable our clients to go further in their digital journeys than what has ever been possible in the past. At BCG Platinion, we deliver business value through the innovative use of technology at a rapid pace. We roll up our sleeves to transform business, revolutionize approaches, satisfy customers, and change the game through Architecture, Cybersecurity, Digital Transformation, Enterprise Application and Risk functions. We balance vision with a pragmatic path to change transforming strategies into leading-edge tech platforms, at scale. What You'll Do At BCG Platinion we're keen to engage with experienced, passionate and creative IT Architects who will help us unlock our client's digital potential and ignite change. In particular we are looking for architects that have domain knowledge on the Insurance sector to work with our insurance clients. We will also consider applications from other domains providing that are willing to learn and develop their skills within the Insurance sector. Meaningful work is at the core of everything we do. We build unique solutions to the complexities our clients face, while providing our people with opportunities to explore and grow. A community of leading experts, BCG Platinion team members have a natural springboard for professional growth and deeper opportunities to excel. As a Lead IT Architect , you will work closely with clients to understand their issues, define IT strategies, architecture solutions, win buy-in for your recommendations, and collaborate with fellow BCGers to transform client potential into performance. You will be given end-to-end responsibility for larger, highly technical and more complex 'modules' within a project, and begin to develop specialized knowledge to help you solve clients' problems. You will start to take on team lead responsibilities and demonstrate intellectual leadership Together with our clients, you will develop superior digital and technology concepts and architecture solutions as well as support technical implementations actively and on site, applying your sound technical know-how, your understanding of business contexts, and your analytical and conceptual skills. You will also help guide junior members of the team, help with project proposals, client care, building relationships with peers and identifying new business opportunities. Finally as a Lead IT Architect you will contribute to the Practice Area development and help to build the BCG brand as a key member of the case team. What You'll Bring • 10 to 15 years' experience in software development, technical project management, digital delivery or technology consulting., • Prior IT consulting experience is a must with management experience., • Experience of working in the insurance technology market with knowledge on core insurance processes and packages such as Guidewire, Duck Creek or DXC Graphtalk AIA, Sapiens, Keylane or SAP Insurance., • Experience of working on core systems modernisation (such as Policy administration, claims systems or underwriting/pricing) and regulatory reporting (Solvency II or IFRS 17), • Technical expertise working with Data and Cloud technologies., • Overview of common development methods and tools DevOps practices and Continuous Improvement, • Ability to balance dogmatism and pragmatism to guide decision making. Articulate trade-offs and drive high-impact technology decisions on topics including (but not limited to) IaaS/PaaS providers, container orchestration, service mesh, API gateways, and commercial vs. open source software., • Approaches to managing Architectural debt, Architecture governance and evolution in practice, • Micro services topologies, including operational concerns such as resiliency, observability, discovery and routing, security etc., • Have experience with, and understand how to lead, legacy integration and remediation (facades, strangler approaches, et. al.)., • Deep understanding of different integration patterns and best practices such as events, synchronous vs. asynchronous., • Ability to work under pressure and willingness to travel to clients world-wide., • For candidates based in London: Fluent in English., • For candidates based in the Netherlands: Fluent in English; Dutch is highly desirable., • For candidates based in Belgium: Fluent in English, with French or Flemish as an additional requirement., • University degree with above-average academic performance in a mathematical-scientific field, information technology, or business administration. Additional info Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Lead Technical Account Manager – AI / Retail Startup London (Hybrid) | Up to £80k + 10% OTE + Equity | Full-time We’re partnered with a DeepTech AI scale-up that’s transforming how retail technology operates, no cloud required. Their patented, on-device AI platform is already live in 400+ stores across 12 countries, powering real-time product recognition and loss prevention for some of the world’s largest retailers. The Opportunity They’re hiring a Lead Technical Account Manager to own the technical rollout and success of enterprise retail clients, ensuring their AI platform is deployed seamlessly into on-premise store infrastructure across global retail networks. This is a strategic, customer-facing delivery role that blends technical depth with operational leadership. You’ll guide post-POC rollouts, shape integration plans, manage live deployments, and lead a growing TAM function — all while feeding insights back into the product roadmap. This role is ideal for someone with a strong track record in delivering on-prem tech solutions into complex retail environments, from PoS systems and store networks to edge devices and AI pipelines What You’ll Do • Lead technical rollout and post-POC expansion into enterprise retail environments — across multiple regions and thousands of edge devices., • Act as the primary technical interface for strategic retail customers, guiding deployment, integration, and operational success., • Create and scale playbooks for deployment, monitoring, retraining, and performance optimisation., • Collaborate with Product and ML teams to turn field data (e.g. lighting conditions, SKU-level precision) into product improvements., • Drive measurable outcomes — improved shrink rates, higher accuracy, and clear ROI — backed by data and strong reporting. About You Must-have experience: • 8+ years in Technical Account Management, Solutions Delivery, or Customer Engineering roles., • Hands-on experience delivering on-premise technology into retail environments — including PoS systems, self-checkouts, store networks, or CCTV. APIs, SDKs, or cloud-to-edge integrations. • A proven ability to manage both the technical detail and strategic relationship with enterprise clients. Bonus if you have: • Experience with computer vision, IoT, or loss prevention systems., • Led or scaled Technical AM or field engineering teams., • Worked closely with hardware vendors in retail or similar sectors. Why This Role? This is a rare chance to lead technical delivery at the intersection of AI, retail, and edge computing, in a company already live in hundreds of stores and scaling fast. • Real ownership: Shape deployments, lead a team, and drive product evolution from the field., • Strategic impact: Work with some of the world’s biggest retailers, directly influencing store-level performance and AI outcomes., • Collaborative environment: Work cross-functionally with Product, ML, Ops, and Hardware teams., • Equity & Growth: Be part of a high-impact scale-up with meaningful equity upside. Interested? If you’ve led technical deployments of AI, edge, or enterprise systems into retail environments, and thrive at the intersection of strategy, operations, and tech, this could be your next big step.

🚀 Technical Principal Product Manager | Platforms | 6-Month Contract 🚀 Role: Principal Product Manager Location: London, 3 days in-office Rate: £700/day, outside IR35 We’re looking for a hands-on Technical Principal Product Manager to join a fast-growing Series B start-up and lead the evolution of the platform, shaping the product vision and roadmap for scalability, automation, and orchestration. This will completely change how the platform works and you'll own delivery during a critical phase, including the first customer rollout in March 2026. ✨ What You’ll Do: • As Principal Product Manager you will lead a dynamic team through a complex platform replatform (monolith to microservices), • Work closely with engineers and designers to solve technical challenges and keep delivery on track, • Set priorities, define scope, and make decisions to move the product forward, • Operate in a fast-moving, high-impact environment 🔍Who We’re Looking For: • Technical product manager with strong understanding of software/engineering, • Startup or high-growth experience – comfortable making decisions in ambiguity, • Hands-on, decisive, and collaborative communicator, • Experience with complex or integrated products is a plus 💡Why This Role Matters: You’ll lead a pivotal product phase, shaping how the platform is built and delivered. Your work will directly impact the product’s success and customer experience. If you are a technical Product Manager and are available to start in the next month please apply below. 🚀 Technical Principal Product Manager | Platforms | 6-Month Contract 🚀

Get the future you want! Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Capgemini Financial Services is seeking a Data Engineer with deep expertise in DBT (Data Build Tool), Snowflake, and PL/SQL to join our growing data team. Person will be responsible for designing, developing, and maintaining robust data transformation pipelines that support business intelligence, analytics, and data science initiatives. Key Responsibilities: • Design and implement scalable data models and transformation pipelines using DBT on Snowflake., • Write efficient and maintainable PL/SQL code for complex data processing and transformation tasks., • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions., • Optimize Snowflake performance through query tuning, clustering, and resource management., • Ensure data quality, integrity, and governance through testing, documentation, and monitoring., • Participate in code reviews, architecture discussions, and continuous improvement initiatives., • Maintain and enhance CI/CD pipelines for DBT projects. Required Qualifications: • 5+ years of experience in data engineering or a related field., • Strong hands-on experience with DBT (modular SQL development, testing, documentation)., • Proficiency in Snowflake (data warehousing, performance tuning, security)., • Advanced knowledge of PL/SQL and experience with stored procedures, functions, and packages., • Solid understanding of data modeling concepts (star/snowflake schemas, normalization)., • Experience with version control systems (e.g., Git) and CI/CD practices., • Familiarity with orchestration tools (e.g., Airflow, dbt Cloud, Prefect) is a plus. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with If you are interested in this role and for immediate consideration, please can you send me your CV ASAP

Understanding of data science concepts, AI / ML models, automation workflows, and agentic orchestration to enhance business processes. Devonshire Hayes have partnered with a fantastic organisation to help them secure a Senior Azure AI Engineer - Security Cleared for an initial contract up until the

Senior Data and Analytics Engineer - Front Office / FI London Excellent package plus bonus / benefits Overview You will work directly with the Front Office investment and trading teams to build, enhance, and support data and analytics infrastructure that powers research, trading, and portfolio decision-making. This is a hands-on, high-impact role at the core of our front office. You will be expected to take full ownership of your workfrom design through productionand to operate with a self-starter mindset in a fast-paced, collaborative environment. Essential skills & experience: You should have at least 5+ years experience as a Front Office Engineer (buy-side, sell-side, or trading environment). Offer deep expertise in Python, with strong software engineering practices (version control, testing, CI/CD). Have a proven track record of building robust data pipelines in cloud-native environments (preferably AWS). Experience with Docker and container-based deployments. Strong knowledge of Snowflake and NoSQL databases (especially MongoDB). Solid understanding of financial markets and instruments particularly Fixed Income (or may consider with an exposure to credit, rates, equities, options, etc. Experience with market data providers (Bloomberg, Refinitiv, etc.) would be useful Any familiarity with tools such as Airflow, prefect, or other orchestration frameworks would be advantageous. Experience building internal tools or dashboards using Dash, Streamlit, or similar web-based data analytics platforms would be nice to have Key Responsibilities Work closely with portfolio managers, analysts, and traders to understand data and research requirements and build scalable solutions. Design, implement, and maintain real-time and batch data pipelines across internal and external sources. Manage and optimize data workflows on AWS, including containerized environments using Docker. Ingest, transform, and serve large-scale financial datasets across asset classes using Python, Snowflake, and NoSQL databases (e.g., MongoDB). Ensure data quality, integrity, and availability across the front office stack.

You'll be: Building scalable, low-latency LLM inference infrastructure Optimising performance with caching, quantisation, and speculative decoding Contributing to core systems in Rust (we are happy for individuals to lean this on the job) Designing distributed GPU orchestration and inference

Trade Support Engineer London, UK The GFO-X Group is a global market infrastructure provider focused on regulated digital asset derivatives. With operations in London, Hong Kong, and Abu Dhabi, the Group offers global access to institutional-grade execution and clearing services. GFO-X UK is the first FCA authorised, centrally cleared Multilateral Trading Facility (MTF) for digital asset derivatives, with all contracts cleared via LCH DigitalAssetClear. Backed by M&G Investments and supported by leading financial institutions, GFO-X Group is building the next generation of regulated infrastructure to integrate digital assets into mainstream finance, with a focus on transparency, risk management, and collateral mobility. GFO-X is seeking a Trade Support Engineer to join our growing team in London, UK. The successful candidate will participate in the daily operations of our globally distributed technical support team. They will be expected to deliver exceptional support to exchange participants through phone and email. Role: • Provide application-level support to the GFO-X trading venue: Respond to customer and internal inquiries, diagnose the problem and then provide an effective solution., • Troubleshoot issues related to FIX and proprietary protocols, application support, hardware, OS, monitoring and orchestration software, and connectivity issues using industry-standard tools including PCAP, Wireshark, FIXYL, Zabbix, and Rundeck., • Assist with client onboarding to the GFO-X Exchange platform, working with internal teams to quickly have the client up and running., • Be the primary interface to the client., • Lead client API and Algo Conformance testing and certification., • Support start and end-of-day settlement process and back office functions., • Document and track customer interactions: Maintain accurate records of customer interactions, including issues, resolutions, and any additional follow-up actions. Update internal knowledge base and contribute to developing self-help resources specific to these areas., • Hardware support: Provide technical assistance and troubleshooting for hardware. Collaborate with the wider IT team to ensure hardware configurations are optimized for stability, performance and security., • Collaborate with the infrastructure, development and project teams: Provide customer feedback on issues relating to FIX and proprietary protocols, application support, hardware, and API enhancements or bug fixes to the development team. Participate in testing and quality assurance efforts to ensure the stability and reliability of these components., • Work according with defined Support SLAs., • Work with the team lead to continuously improve support processes: Identify areas for process improvement specific to FIX and proprietary protocols, application support, hardware, and APIs, and suggest proactive solutions to enhance the overall customer support experience. Collaborate with the team to develop best practices and implement standardized support procedures. Requirements: • 2-years support experience in a financial organisation ideally in trade or front-office support., • Working knowledge of FIX protocol, • Practical experience with troubleshooting Application Services, including API issues., • Practical experience with troubleshooting trading venue connectivity issues, • Strong problem-solving and communication skills., • Demonstrated client focus and appreciation of Customer Experience, • Able to multi-task efficiently and work under time pressure, • Willing to take direction, follow instructions and see tasks through to the best possible outcome for GFO-X and for our clients., • Familiarity with ITIL working practices, ideally experience working in a workplace actively using ITIL practices., • Demonstrable skills with the effective use of Jira and Confluence, including creating and owning dashboards and kanban boards, and creating and contributing to how-tos, troubleshooting guides, and other forms of documentation., • Respectful of GFO-Xs culture and values, • Bachelors Degree a plus, • Experience in supporting IT projects and associated workstreams This role is to be based at our London Headquarters. Application from any region is acceptable, but candidates based in the United Kingdom will be given preference. GFO-X is an equal opportunities employer committed to diversity and inclusion. Competitive benefits included. If you are interested in any of our roles, please apply through the link provided in the job posting. Inquiries from agencies should be directed to . Please refrain from sending recruitment inquiries to any other email address or individual within our organization. GFO-X does not guarantee employment or engagement based solely on inquiry. Any unsolicited CVs from agencies shall be treated as such.

About Apexon: Apexon brings together distinct core competencies in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence. About the Role We are seeking a highly motivated and experienced AI Engineer to join our Data and AI team. This role is ideal for someone who has a strong track record of designing, developing, and deploying AI/ML solutions in a business contextfrom ideation through to production. You will play a pivotal role in shaping and implementing advanced AI-driven insights and personalization strategies that optimize client engagement and campaign performance across digital, CRM, and relationship management channels for our Financial Services client. Key Responsibilities • End-to-End AI Solution Delivery: Lead AI/ML initiatives from conceptual design to production deployment, including problem scoping, data acquisition, model development, validation, deployment, and monitoring., • AI-Driven Marketing Insights: Develop predictive and generative models to support audience segmentation, personalization, channel optimization, lead scoring, and campaign measurement., • Collaborative Development: Work closely with marketing strategists, data analysts, data engineers, and product owners to define use cases and deliver scalable solutions., • Model Deployment & Monitoring: Deploy models using MLOps practices and tools (e.g., MLflow, Airflow, Docker, cloud platforms) ensuring performance, reliability, and governance compliance., • Innovation & Research: Stay current on advancements in AI/ML and proactively bring forward new ideas, frameworks, and techniques that can be applied to marketing use cases., • Data Strategy: Collaborate with data engineering teams to ensure the availability of clean, structured, and enriched data pipelines required for model training and inference. Required Qualifications • Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, Applied Mathematics, or a related field., • 4+ years of experience in building and deploying AI/ML models in a business setting, ideally in a regulated or enterprise environment., • Demonstrated experience taking AI solutions from ideation to productionsuccessfully navigating cross-functional stakeholders, data challenges, and deployment hurdles., • Ability to translate business questions into analytical frameworks and interpret results for non-technical stakeholders., • Strong proficiency in Python, SQL, and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch)., • Experience with model operationalization using tools like Docker, Kubernetes, MLflow, or SageMaker., • Marketing KPIs knowledge: CTR, conversion rate, MQL to SQL, ROI, CLV, CAC, retention., • Experience working with multi-channel marketing data: CRM (e.g., Salesforce), email, web analytics, social media, and paid media., • Excellent problem-solving skills, business acumen, and the ability to translate complex models into actionable insights for non-technical stakeholders. Tools/Frameworks: • Scikit-learn, XGBoost, LightGBM, StatsModels, • PyCaret, Prophet, or custom implementations for time series, • A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : • Python: Strong foundation in Pandas, NumPy, matplotlib/seaborn, scikit-learn, TensorFlow, Pytorch etc., • SQL: Advanced querying for large-scale datasets., • Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering Collaboration : • Comfort working with cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery), • Familiarity with data pipelines and orchestration tools like Airflow, • Work closely with Data Engineers to ensure model-ready data and scalable pipelines. Nice to have • Prior experience working in financial services or within a marketing analytics function., • Knowledge of customer lifetime value modelling, recommendation systems, or NLP-based content personalization., • Exposure to regulatory considerations in marketing data usage (e.g., GDPR, data privacy in finance).

Data Engineer | AI Startup | Real-Time Data & ML Pipelines Im currently partnered with a next-generation AI startup thats building real-time intelligence systems capable of understanding and adapting to the world as it happens. Theyre at the forefront of streaming data, continuous learning, and large-scale inference - and theyre now looking for a Data Engineer to help power that mission. This isnt a maintenance role. Its a build-it-from-the-ground-up opportunity in a company thats solving genuinely hard, technical problems around real-time data pipelines and ML infrastructure. The Opportunity The team is looking for a Data Engineer who can design and scale real-time data architectures and machine learning pipelines that drive continuous model training and experimentation. Youll be working in close collaboration with ML engineers, product leads, and platform teams to make sure the companys AI models are learning, and improving, in production. What Youll Be Doing • Architect and maintain real-time streaming data systems (Kafka, Kinesis, or Flink), • Build robust feature pipelines using Airflow, Prefect, or Dagster, • Manage and optimise data storage solutions (Snowflake, BigQuery, Redshift, or Delta Lake), • Automate and scale model training pipelines in close partnership with ML engineers, • Deploy, observe, and improve pipelines using Docker, Kubernetes, Terraform, or dbt, • Champion data reliability, scalability, and performance across the platform The Tech Environment Youll likely be working with some combination of: • Languages: Python, Scala, Go, • Streaming: Kafka / Flink / Spark Structured Streaming, • Workflow orchestration: Airflow / Prefect / Dagster, • Data storage & processing: Snowflake / Detabricks / BigQuery / Redshift, • Infrastructure: Docker / Kubernetes / Terraform / dbt, • Monitoring: Prometheus / Grafana / OpenTelemetry, • Cloud: AWS / GCP / Azure What Theyre Looking For • Proven experience building scalable data pipelines in real-time or near real-time environments, • Strong background in data architecture, performance tuning, and distributed systems, • Comfort working end-to-end - from data ingestion to model-ready outputs, • An interest in AI, ML ops, and data-driven product development, • Someone who thrives in fast-moving, high-ownership start-up environments Why This Role? • Join a well-funded AI startup with massive growth potential, • Be the first Data Engineer, shaping the entire data backbone, • Work with exceptionally talented engineers and researchers solving real-world AI problems, • Competitive package, plus meaningful equity, • A culture that values autonomy, creativity, and continuous learning Interested? If youve built or scaled data pipelines in production and want to be part of something genuinely cutting-edge, Id love to chat. Drop me a message here on LinkedIn or send over your details - happy to share more about the team, the vision, and what theyre building.

Senior Integration Engineer Up to 90,000 DOE London Im working with a well-established organisation thats embarking on a major platform modernisation and integration transformation. The business operates across several dynamic streams - including external partnerships - and is now investing in a new generation of API-driven and messaging-based infrastructure. Theyre looking for a Senior Integration Engineer to take a technical lead role in shaping how systems communicate, scale, and deliver value across the business. The Role Youll be responsible for designing and developing high-performance integrations that connect core systems and partners, using C#, Python, and Azure cloud technologies. This is a hands-on engineering role that also offers the opportunity to influence architecture, best practices, and technology direction. What Youll Be Doing • Designing, building, and maintaining high-throughput, reliable integration components using C# and Python, • Developing and optimising SQL interactions that underpin APIs and message-driven workflows, • Implementing asynchronous messaging via Azure Service Bus (or similar) to decouple systems and ensure scalability and resilience, • Building workflow automations with Azure Logic Apps to orchestrate processes and connect enterprise systems, • Managing API exposure and governance through an API management layer - defining, publishing, and monitoring APIs, enforcing policies, and supporting external partner integrations, • Collaborating closely with internal and external teams to define integration requirements, establish standards, and ensure long-term maintainability, • Championing best practices around API versioning, secure messaging, error handling, monitoring, and CI/CD automation What Were Looking For • Strong hands-on experience with C# and Python in production settings, • Proven proficiency in SQL from database design to performance tuning, • Practical experience with Azure Service Bus (queues, topics) or comparable enterprise messaging technologies, • Experience using Azure Logic Apps (or similar tools) for orchestration and workflow automation, • Understanding of API management, including governance, security, policies, and analytics, • Comfortable in cloud-native environments, with awareness of automation and modern deployment practices, • Excellent communication and problem-solving skills able to turn complex integration challenges into elegant technical solutions If you, or anyone you know, would be interested in this position, please don't hesitate to apply or email me on:

This includes intent capture, caller ID, natural language processing, text to speech and orchestration layers - Architectural decision making on Cloud native, Microservices and API first frameworks - Own application level architectural design for conversational voice experiences - Define architectur

Senior C++ Software Engineer Salary: £100,000 – £135,000 Key Responsibilities - Design, develop, and optimize software in C++ and/or Rust for control and orchestration systems.Build low-latency interfaces between hardware and classical compute systems.Collaborate with hardware teams to integr

Role Responsibilities: - Administer and manage DevOps environment.Work with developers to implement pipelines and releases for Digital platforms using cloud-based services either from AWS or Azure and orchestration tools based on requirements.Help implement the bank’s strategic aims, promote oper

We’d expect you to have: - At least 5 years commercial development experience in AI/ML - Expert in NLP and BERT based Transformer models - Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) - Experience with multi agent orchestration frameworks (LangGraph, LangChain,

Data Engineer (with Data Analytics Background)If you are interested in applying for this job, please make sure you meet the following requirements as listed below.Location: City of LondonEmployment Type: Full-timeSalary: £90,000-£100,000Sector: FintechWere looking for a well-rounded, communicative Data Engineer with a strong background in data analytics and experience within the Fintech sector. This role is ideal for someone who began their career as a Data Analyst and has since transitioned into a more engineering-focused position, someone who enjoys understanding the business context just as much as building the data solutions behind it.Youll work extensively with Python, Snowflake, SQL, and dbt to design, build, and maintain scalable, high-quality data pipelines and models that support decision-making across the business. This is a hands-on, collaborative role, suited to someone whos confident communicating with data, product, and engineering teams, not a "heads-down coder" type.Top 4 Core SkillsPython - workflow automation, data processing, and ETL/ELT development.Snowflake - scalable data architecture, performance optimisation, and governance.SQL - expert-level query writing and optimisation for analytics and transformations.dbt (Data Build Tool) - modular data modelling, testing, documentation, and version control. Key ResponsibilitiesDesign, build, and maintain dbt models and SQL transformations to support analytical and operational use cases.Develop and maintain Python workflows for data ingestion, transformation, and automation.Engineer scalable, performant Snowflake pipelines and data models aligned with business and product needs.Partner closely with analysts, product managers, and engineers to translate complex business requirements into data-driven solutions.Write production-grade SQL and ensure data quality through testing, documentation, and version control.Promote best practices around data reliability, observability, and maintainability.(Optional but valued) Contribute to Infrastructure as Code and CI/CD pipelines (e.g., Terraform, GitHub Actions). Skills & Experience5+ years of experience in data-focused roles, ideally progressing from Data Analyst to Data Engineer.Proven Fintech or Payments industry experience - strong understanding of the data challenges and regulatory context within the sector.Deep proficiency in Python, Snowflake, SQL, and dbt.Excellent communication and collaboration skills, with the ability to work effectively across data, product, and business teams.Solid grasp of modern data modelling techniques (star/snowflake schemas, data contracts, documentation).Experience working in cloud-based environments; familiarity with Terraform or similar IaC tools is a plus.Proactive, delivery-focused, and able to contribute quickly in a fast-moving environment. Nice to HaveExperience with Power BI or other data visualisation tools.Familiarity with orchestration tools such as Airflow, Prefect, or Dagster.Understanding of CI/CD practices in data and analytics engineering.Knowledge of data governance, observability, and security best practices in cloud environments

Senior C++ Software Engineer Salary: £100,000 – £135,000 Key Responsibilities - Design, develop, and optimize software in C++ and/or Rust for control and orchestration systems.Build low-latency interfaces between hardware and classical compute systems.Collaborate with hardware teams to integr

Principal Product Engineer (Frontend) - React, TypeScript Fast-Growing SaaS Startup 3 days a week onsite in Central London Salary paying £100k - £140k + benefits Oliver Bernard have partnered with an early-stage, venture-backed SaaS company building a cutting-edge workflow orchestration platfo

Global Marketing Activation & Orchestration Operations Manager. As the Operations Manager within BCG’s Activation & Orchestration (A&O) team, you will play a critical role in improving how marketing campaigns are planned, executed, and shared across the A&O team, the channel teams, Practice Area m

Architect a self‑service data virtualization platform that provides a self‑service experience, enabling users to explore and analyze data from third‑party apps, data warehouses, data lakes, Workato usage data, and custom datasets in real time. Develop and execute the product strategy for a uni

Senior Platform Engineer, Vendor Risk Management - London. As a Senior Platform Engineer on our Vendor Risk Management team, you will own the critical infrastructure and orchestration services that power Vanta's external data scanning and risk analysis capabilities. Our team focuses on monitoring th

Senior Data Engineer - Trino/Starburst Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below. Senior Data Engineer Opportunity • Salary: Up to £75k (Based on candidate experience) + Excellent benefits, • Work commute Model: Mostly remote with just 1 day per week on-site, • Location: London / Portsmouth, • Job Type: Permanent Ready to Shape the Future of Data? My client is a leading UK-based IT services and consulting company seeking an experienced Senior Data Engineer who thrives on building robust, scalable systems that unlock the true potential of enterprise data. This is your opportunity to join their cutting-edge AI & Data team as a Senior Data Engineer. What You'll Be Doing Build & Optimise: Take ownership of Starburst (Trino) and Dell Data Lakehouse deployments, turning complex data ecosystems into seamless, high-performance platforms Connect Everything: Create unified data experiences by integrating diverse data sources across multiple environments Performance Mastery: Fine-tune containerised solutions for maximum scalability and lightning-fast query performance Secure by Design: Implement bulletproof security frameworks and ensure rock-solid compliance across all data touchpoints Problem Solver: Dive deep into complex technical challenges, providing expert root cause analysis and innovative solutions Knowledge Sharer: Develop comprehensive documentation and mentor teams on advanced data engineering best practices What Makes You Perfect for This Role Essential Expertise • Starburst Mastery: Deep experience with Trino/Starburst Enterprise/Galaxy administration and CLI operations, • Container Orchestration: Proven track record with Kubernetes/OpenShift in production environments, • Big Data Ecosystem: Strong background in Hadoop, Hive, Spark, and cloud platforms (AWS/Azure/GCP), • Systems Architecture: Understanding of distributed systems, high availability, and fault-tolerant design, • Security Protocols: Experience with LDAP, Active Directory, OAuth2, and Kerberos authentication, • Unix/Linux Proficiency: Advanced command-line skills and system administration experience, • Educational Foundation: Degree in Computer Science, Data Science, Engineering, or equivalent hands-on experience Bonus Points For Starburst Certified Practitioner certification Programming Skills in Python and/or Java Automation Expertise with tools like Ansible AI/ML Data Requirements understanding Data Federation and caching technologies experience Data Pipeline design and optimisation Dell Data Lakehouse administration background Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy

Disaster Recovery Specialist / IT Resilience Specialist Any additional information you require for this job can be found in the below text Make sure to read thoroughly, then apply. Hybrid working: 3 days per week required in the office (City of London). The successful candidate will plan and execute Disaster Recovery and resilience testing, drive remediation activities through to closure, and ensure that evidence and documentation meet client, regulatory, and audit standards. This is not a purely administrative role; the successful candidate will work directly with infrastructure and security teams to fix issues as well as document them. Key Responsibilities: • Plan and run Disaster Recovery, failover, and resilience tests end-to-end, including test design, leading its orchestration and execution, evidence capture, and reporting., • Validate Recovery Time Objectives (RTOs) and Recovery Point Objectives (RPOs) through realistic testing., • Ensure Disaster Recovery runbooks, procedures, and evidence packs are accurate, up-to-date, and practical., • Work with Engineers to automate recovery testing and evidence collection where feasible (e.g. scripting, orchestration tools)., • Act as the primary technical liaison with the Business Continuity Planning (BCP) team., • Maintain a central log of resilience activities, including issues, actions, and progress against remediation targets., • Identify vulnerabilities in hardware and software to be remediated by Engineering\Operations teams., • Understand current and emerging security threats., • Assist and lead in Incident Response investigations and mitigation. Required Skills / Experience: • Hands-on experience with disaster recovery, failover testing, and operational resilience in IT infrastructure., • Solid understanding of business continuity and security frameworks (e.g. ISO27001, ISO23001 NIST) and how to evidence controls., • Experience producing and maintaining high-quality technical documentation and runbooks., • Proficiency with infrastructure tooling and at least one scripting language (PowerShell or Python preferred)., • Experience and understanding of hyperconverged infrastructure preferably with Nutanix, VMWare, Commvault and hybrid cloud infrastructure (Azure or similar)., • Knowledge of vulnerability management, monitoring/alerting, and automation/orchestration platforms. Disaster Recovery Specialist / IT Resilience Specialist