Trabajos orchestration en Reino Unido - Page 7

Machine Learning Engineer (Conversational AI) Scroll down the page to see all associated job requirements, and any responsibilities successful candidates can expect. Clearance: BPSS Eligible Start: ASAP Work pattern: Hybrid Work type: 12 month FTC (Competitive Salary) 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. 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. Key Responsibilities: • Design and develop conversational AI workflows using frameworks such as LangChain or LlamaIndex., • Fine-tune and optimise Large Language Models (LLMs) for performance, accuracy, and cost efficiency., • Build evaluation pipelines to ensure model reliability and stability., • Develop secure and scalable Python applications and RESTful APIs (FastAPI, Django REST Framework)., • Integrate AI services and foundation models from providers such as Azure AI, Amazon Bedrock, and Google Vertex AI., • Work with vector databases and retrieval mechanisms to enhance accuracy and context., • Strong hands-on experience deploying ML models in production environments., • Excellent programming skills in Python and familiarity with ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Pandas)., • Practical experience with RAG or agentic AI frameworks (LangChain, LlamaIndex)., • Experience working with LLM APIs (e.g. Hugging Face, OpenAI)., • Exposure to conversational AI platforms (Dialogflow, Lex, Rasa, etc.)., • Ability to work collaboratively in fast-paced, agile, and multidisciplinary environments., • Experience with multi-agent orchestration (LangGraph, AutoGen, CrewAI)., • Familiarity with AI observability tools (TruLens, Helicone)., • Awareness of AI safety and reliability frameworks (Guardrails AI)., • Experience working in government or public sector digital projects.

Senior Integration Engineer Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below. Up to £90,000 DOE London I’m working with a well-established organisation that’s 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. They’re 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 You’ll 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 You’ll 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, • 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

AI Engineer (LangGraph Expert) You can get further details about the nature of this opening, and what is expected from applicants, by reading the below. Salary: £90k - £130k + Equity + Bonus Location: Remote / Hybrid in London We’re looking for a brilliant AI Engineer who’s passionate about building intelligent, agentic systems using LangGraph. If you thrive at the intersection of LLMs, automation, and complex system design, this is your chance to shape the next generation of AI infrastructure. What You’ll Do • Design, implement, and optimize LangGraph-based AI workflows and multi-agent systems, • Integrate LLMs, APIs, and data pipelines into production-ready solutions, • Build scalable, maintainable AI applications with structured memory, tools, and dynamic reasoning paths, • Collaborate with cross-functional teams — from data scientists to product engineers — to bring cutting-edge AI features to life, • Proven experience with LangGraph (bonus: contributions to the open-source project), • Strong background in Python, LangChain, OpenAI APIs, and LLM architectures, • Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering, • Understanding of software design principles, version control (Git), and CI/CD practices, • Experience deploying AI agents at scale, • Knowledge of cloud platforms (AWS, GCP, Azure), • Work on cutting-edge AI projects with real-world impact, • Collaborate with a world-class engineering team, • Flexible remote environment with strong growth potential

Founding AI Engineer Interested in learning more about this job Scroll down and find out what skills, experience and educational qualifications are needed. London – On-site Up to £150k + equity I’m partnering with a well-funded early-stage startup looking to hire a Founding AI Engineer who cantake them on to Series A. This is an opportunity to join a small, high-calibre engineering team that’s building production-grade AI systems used by real customers today. Revenue generating and with three years of runway, this is a solid opportunity for anyone who enjoys building systems that actually ship, rather than just prototyping models, this will be a strong fit. You’ll work at the intersection of LLMs, agentic systems and applied AI, taking ownership of projects end-to-end, from experimentation to deployment. If you What You’ll Do • Design, implement, and ship production-grade LLM applications (prompting, RAG, evaluation, deployment)., • Develop and refine AI pipelines and retrieval systems using tools like LangChain, LangGraph, or custom frameworks., • Own model evaluation frameworks to ensure quality, factuality, and performance across real-world workloads., • Collaborate closely with the founding engineering team to build scalable infrastructure for AI-driven applications., • 5+ years of professional software engineering experience, including 2–3+ years in AI/ML applications., • Proven track record of shipping AI products into production (not just research or prototypes)., • Preferred tech stack - TypeScript, React, LangChain, and LLM orchestration., • Experience with RAG systems, vector databases (e.g. Pinecone, PGVector, Weaviate), and model evaluation., • Comfortable working in a fast-paced startup environment with a high degree of autonomy., • Join a high-impact, early engineering team working on complex applied AI challenges., • Shape the direction of real-world LLM applications with full ownership and creative freedom.

Insurance Lead Sector Architect – Senior Manager For a complete understanding of this opportunity, and what will be required to be a successful applicant, read on. Location: London Salary: £100,000 – £120,000 + £6,000 car allowance + 10% bonus About the Role 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. Key Responsibilities • Architect and deliver end-to-end technology solutions for major insurance clients., • Develop sector-specific reference assets, target platforms, and strategic roadmaps., • Provide technical oversight across multiple programmes, ensuring architectural vision is realised., • Mentor and grow future architects within the team, accelerating capability development., • Lead innovation initiatives in areas such as cloud, data, AI orchestration, and new technologies., • Collaborate with senior client stakeholders to bring fresh perspectives and accelerate business strategies., • Exceptional expertise in insurance sector business and technology architecture., • Proven ability to design and implement technology-enabled business platforms., • Strong background in end-to-end solution architecture and enterprise architecture., • Leadership experience in managing multidisciplinary teams on complex transformations., • Familiarity with the sector’s vendor landscape and relevant certifications (e.g. TOGAF, SAFe)., • Industry certifications (e.g. Guidewire Certified Specialist, Salesforce Financial Services Cloud) highly desirable., • Understanding of insurance regulations such as Solvency UK and FCA consumer duty., • Strong knowledge of cloud, data, and AI technologies., • Competitive base salary of £100,000 – £120,000., • £6,000 car allowance (cash equivalent available)., • 10% annual bonus., • Career progression within a growing architecture and consulting practice.

Role: Staff Software Engineer (Rust & AI Inference) Location: London (23 days a week onsite) Compensation: Up to 160,000 + equity Were supporting an emerging deep tech company building high-performance infrastructure to support AI model deployment at scale. Theyre focused on enabling enterprises to run advanced AI systems in production, with a strong emphasis on privacy, performance, and full-stack control. This is a hands-on senior IC role for an engineer who thrives in low-latency, compute-intensive environments, and enjoys mentoring others. Youll play a key role in shaping the core inference layer powering complex real-time AI workflows. If you're excited by the challenge of optimising distributed systems, designing for reliability, and scaling cutting-edge AI applications, this could be the role for you. 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 servers Mentoring engineers and influencing technical direction across the team You should bring: ~5+ years software engineering experience, with deep backend/system-level experience ~ Strong coding skills in a typed systems languages like C++ / Go / Rust (would also consider Python) ~ Familiarity with Kubernetes, and cloud infra ~ A strong engineering mindset with a bias for clean abstractions, reliability, and performance Bonus points for: Experience deploying open-source LLMs or VLMs in production Experience with ML inference systems, PyTorch, Triton, or CUDA kernels Background in document intelligence, enterprise search, or NLP pipelines Prior exposure to multi-agent systems or complex orchestration workflows This is a high-impact, high-autonomy role in a technically elite team thats pushing the boundaries of whats possible in AI infrastructure.

This is a freelance position to become part of a pool of engineers we can call upon for holiday cover or additional project support within our Media Technology Team. The role will be hybrid, based in our London office, working with award-winning brands such as Sky HISTORY and Crime+Investigation. You will support the day-to-day running of our media technology infrastructure, including broadcast systems, file-based workflows, post production environments, and workflow orchestration platforms. Provide technical support for IT, broadcast, and media systems. Support post production users with Adobe Creative Cloud and related plug-ins. Troubleshoot and support remote edit and on-premise edit environments, including storage, proxies, and deliveries. Provide support for MAM/PAM systems Provide day-to-day support for SDVI Rally which includes workflow monitoring, user support, troubleshooting, and vendor escalation. Monitor system performance and workflows; Assist with configuration, upgrades, and maintenance of broadcast equipment and file-based media workflows. Ensure all work and incidents are logged and tracked in Fresh Service, meeting SLA targets. Working with People collaborate effectively with creative, operations, engineering, and vendors. Analysing diagnose workflow failures, analyse technical logs, trace issues across content supply chain systems. Planning and organising manage priorities (support requests, workflow monitoring, vendor escalations). Delivering results and meeting customer expectations ensure continuity of media workflows and support. Experience supporting broadcast, or media production systems. Familiarity with post production workflows and user support. Hands-on troubleshooting of software, storage, and hardware. Experience liaising with third-party vendor support. Clear documentation and incident logging in ticketing systems (Fresh Service or equivalent). Experience providing user and technical support for media workflow orchestration platforms such as SDVI Rally (or equivalent in content supply chains). Experience with SDVI Rally workflows & support. Understanding of transcoding, edit storage, and proxy workflows. Scripting or automation experience (Python, PowerShell, AWS Lambda) to streamline support tasks. At Hearst Networks EMEA, we share stories that matter, inspiring and exciting our audiences with hit US franchises (The Curse of Oak Island, Pawn Stars), must-see docudramas (Royal Kill List and Colosseum), and original commissions (Sex: A Bonkers History with Amanda Holden, Royal Autopsy, Cops Gone Bad with Will Mellor). Over the past few years weve championed our own original programming and relished in the successes of recent series such as The Unbelievable with Dan Aykroyd, Great Escapes with Morgan Freeman, The Prison Confessions of Gypsy Rose Blanchard and Royal Mob. Here youll find a community of innovative, creative and inspiring people who arent afraid to embrace responsibility and try new things collaboratively, as a team. With offices in Rome, Madrid, London, Warsaw, Munich and Johannesburg, we are a truly international organisation that celebrates difference and diversity. As an inclusive employer, we value the diversity of our teams and want our workforce to reflect our wider society. Pease do let us know if you require any adjustments or assistance for meetings and communications with you when you apply for a role with us.

AI Engineer - Remote London - 120,000 160,000 + bonus & benefits My client are seeking an AI Engineer to design, develop, and deploy large language models and autonomous AI agents at scale. Youll work across the full ML lifecyclefrom dataset curation and model development to MLOps, production deployment, and integration of agentic reasoning pipelines into real-world applications. Competitive salary 120,000160,000 Fully remote within the UK, with hybrid options in London. Open annual leave policy Implement prompt engineering, instruction tuning, and RLHF for high-quality outputs. Build planning, decision-making, and task execution pipelines using tools such as LangChain or custom orchestrators. Implement safety, validation, and ethical guardrails for autonomous AI behaviors. Deploy and scale LLMs and autonomous agents on cloud infrastructure (AWS, GCP, Azure) using Kubernetes, Docker, or serverless architectures. Automate CI/CD pipelines, model retraining, and monitoring for performance, drift, and reliability. Build retrieval-augmented generation (RAG) pipelines and task-oriented AI agents for enterprise applications. Integrate AI agents with APIs, chatbots, and knowledge management systems. Evaluate and adopt emerging frameworks (LangChain, LlamaIndex, Hugging Face Transformers) to accelerate agentic AI deployment. Optimize distributed training on GPUs/TPUs using DeepSpeed, Ray, or Horovod. Implement mixed-precision training, model sharding, and checkpointing strategies for high-performance inference. 5+ years in AI/ML engineering or applied research, with deep experience in LLMs, generative AI, or autonomous AI agents. ~ Strong programming skills in Python, PyTorch, TensorFlow, or JAX. ~ Hands-on experience with agentic AI, multi-step reasoning, and decision-making pipelines. ~ Knowledge of RAG, vector databases, embeddings, and autonomous task orchestration. ~ Experience deploying AI models in production with MLOps best practices. ~ AWS, GCP, or Azure. ~ Advanced degree in AI, Machine Learning, NLP, Computer Science, or related field. ~ If youre interested, get in touch ASAP with a copy of your most recent and up-to-date CV and email me at m.Please Note: This is a permanent role for UK residents only. Some of our roles may be subject to successful background checks including a DBS and Credit Check. TRG are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group.

Genesys IVR Specialist London | Hybrid Is this the Genesys IVR Specialist role for you? Crone Corkill are assisting a technology consultancy as the look to hire an IVR (Interactive Voice Response) Specialist on a permanent basis. Based on feedback, theyd ideally like to see candidates with a strong focus on application level experience rather than just implementation, so if you have experience with Genesys in contact centre or customer service environments, this could be the role for you! This is a pivotal hire as they look to modernise customer interactions, migrating from legacy IVR to intelligent, natural language-driven experiences. An understanding of enterprise system design and AI/Machine Learning enabled voice applications is also ideal. What will you do as a Genesys IVR Specialist? This includes intent capture, caller ID, natural language processing, text to speech and orchestration layers What skills do you need as a Genesys IVR Specialist? Experience with Cloud platforms (ideally AWS)

Role: Staff Software Engineer (Rust & AI Inference) Location: London (23 days a week onsite) Compensation: Up to 160,000 + equity Were supporting an emerging deep tech company building high-performance infrastructure to support AI model deployment at scale. Theyre focused on enabling enterprises to run advanced AI systems in production, with a strong emphasis on privacy, performance, and full-stack control. This is a hands-on senior IC role for an engineer who thrives in low-latency, compute-intensive environments, and enjoys mentoring others. Youll play a key role in shaping the core inference layer powering complex real-time AI workflows. If you're excited by the challenge of optimising distributed systems, designing for reliability, and scaling cutting-edge AI applications, this could be the role for you. 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 servers Mentoring engineers and influencing technical direction across the team You should bring: ~5+ years software engineering experience, with deep backend/system-level experience ~ Strong coding skills in a typed systems languages like C++ / Go / Rust (would also consider Python) ~ Familiarity with Kubernetes, and cloud infra ~ A strong engineering mindset with a bias for clean abstractions, reliability, and performance Bonus points for: Experience deploying open-source LLMs or VLMs in production Experience with ML inference systems, PyTorch, Triton, or CUDA kernels Background in document intelligence, enterprise search, or NLP pipelines Prior exposure to multi-agent systems or complex orchestration workflows This is a high-impact, high-autonomy role in a technically elite team thats pushing the boundaries of whats possible in AI infrastructure.

Senior Data Engineer (Hybrid 2 Days/Week On-Site) Kings Cross, London (Hybrid) 85,000105,000 pro rata + up to 10% bonus We're looking for a Senior Data Engineer to help shape the future of data at one of the UKs most exciting entertainment and hospitality brands. This is a hybrid role, with two days a week on-site at our Kings Cross office perfect for someone who thrives on impact, autonomy, and clean, scalable data systems. What Youll Do Design and build robust, scalable ETL pipelines Develop data infrastructure to support analytics, reporting, and ML Own and evolve our data architecture and best practices Collaborate with tech, ops, and product teams to drive insight and innovation What You Bring Strong experience with Python for data engineering and automation Proven background in ETL development and orchestration tools Deep understanding of data engineering best practices (version control, testing, governance) Experience with cloud platforms (AWS, GCP, or Azure) and modern data warehouses (e.g. BigQuery, Snowflake) What You Get ~85,000105,000 pro rata (based on experience) ~ Up to 10% annual bonus ~ Hybrid working 2 days/week on-site near Kings Cross ~ The chance to work on real-world data challenges for a rapidly scaling, tech-powered business ~ A collaborative, forward-thinking culture where data drives decisions

This is an excellent opportunity for Azure Devops Engineer Role professionals to be part of leading-edge technology projects. Cognizants Cloud, Infrastructure & Security Services Practice provides end-to-end solutions covering architecture, design, implementation, management, and on-going support across the entire enterprise technology infrastructure. Our services include a spectrum of management, consulting, and systems integration services to help our clients maximize value in their infrastructure resources, while optimizing infrastructure performance and cost. Candidates must have Security Clearance (SC Cleared) Responsibilities: Design and implement Kafka logging solutions using Fluentd/td-agent for centralized log management. Act as Azure DevOps SME. Develop file transfer solutions based on Single File Transfer Service to ensure secure data exchange. Build and configure virtual networks and subnets to support scalable and secure architecture designs. Perform patching and maintenance of virtual machines and Docker containers to ensure environment stability. Conduct penetration testing and IT health checks across all infrastructure resources to maintain compliance with Clients requirements. Implement Infrastructure as Code (IaC) practices using Terraform and related tools to automate environment provisioning. Collaborate with cross-functional teams to improve deployment pipelines, CI/CD processes, and monitoring systems. Ensure all infrastructure changes align with security, compliance, and performance standards. Required Skills Strong experience in infrastructure automation, Azure Devops and IaC scripting. Proficient in managing Terraform configurations and dependencies. Should have experience in testing Terraform infrastructure code. Should have experience in creating automated machine images for multiple platforms. Strong knowledge in configuration management and deployment automation. Hands-on experience in CI/CD pipelines and version control. Experience in building and managing distributed streaming platforms. Solid understanding of Azure services, networking, and cloud resource management. Experience with Docker and container orchestration tools (e.g., Kubernetes) preferred. Strong troubleshooting, scripting (e.g., Bash, Python), and automation mindset.

We are working with , a London-based start-up using agentic AI to automate and disrupt the $210BN supply chain and freight forwarding industry. We're helping them hire a Founding AI Engineer . Their investors have backed AI leaders like Synthesia, Genie AI, Superlinked, Plain, Signal AI, Dust.Founded in early 2025 by supply chain and AI experts, they are looking for ambitious, mission-driven builders to join them in creating the next generation of automation technology from the ground up and redefine the global supply chain. As Nexcades Founding AI Engineer, you will play a foundational role in shaping the product and company, as you build and refine AI-driven agents for workflow automation and decision-making in supply chain operations. Your work will focus on integrating, orchestrating, and optimising AI systems to interact dynamically with real-world business processes. This is a full-time position working in the Kennington, London office 4+ days per week. Develop & optimise AI-driven agents for real-time automation Work closely with founders, product engineers, and customers to understand pain points and design AI workflows that create real-world value Integrate AI models into operational workflows Monitor & improve AI performance with feedback loops and observability tools Collaborate with Data Engineers to ensure AI has accurate, real-time data Exceptional Python skills and experience with LLM-powered AI orchestration frameworks (e.g., Experience in AI-driven automation & orchestration in production environments Proven ability to optimise AI agents for reliability and efficiency Familiarity with data pipelines & integrations Interest in AI process automation & workflow design Seek every opportunity for growth. Compensation and Benefits ~ 30 days annual leave ~ Pension through Penfold ~ Employee health insurance ~ Monthly gym & health allowance ~ Cycle to work scheme ~ Enhanced parental leave ~ The satisfaction of building a world-class AI-powered product with a great team Introductory chat with one of the founders (45 mins - remote) #

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 integrate software with FPGAs and high-speed digital electronics. Develop and maintain firmware and drivers for custom hardware platforms. Analyze and optimize system performance including latency, throughput, and resource utilization. Participate in system architecture design and technical decision-making. Conduct code reviews , mentor junior engineers, and promote software best practices. Work with cross-functional teams to ensure seamless integration of hardware and software components for robust, production-ready systems. Ensure system reliability , fault tolerance , and performance in data centre environments. Required Qualifications ~ Bachelors or Masters degree in Computer Engineering , Electrical Engineering , Physics , or a related field. ~5+ years of professional experience in software development, with a focus on C++ and/or Rust . ~ Strong understanding of FPGA architectures , toolchains (e.g., Xilinx Vivado, Intel Quartus), and hardware description languages ( VHDL/Verilog ). ~ Experience with high-speed data centre and GPU interfaces (e.g., PCIe, Ethernet, Infiniband).

Disaster Recovery Specialist / IT Resilience Specialist 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

Trade Support Engineer London, UK The GFO-X Group is a global market infrastructure provider focused on regulated digital asset derivatives. 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. Provide application-level support to the GFO-X trading venue: 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. Lead client API and Algo Conformance testing and certification. Support start and end-of-day settlement process and back office functions. Update internal knowledge base and contribute to developing self-help resources specific to these areas. Hardware support: 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. 2-years support experience in a financial organisation ideally in trade or front-office support. ~ Familiarity with ITIL working practices, ideally experience working in a workplace actively using ITIL practices. ~ Bachelors Degree a plus ~ Experience in supporting IT projects and associated workstreams GFO-X is an equal opportunities employer committed to diversity and inclusion.

Senior Software / Platform Engineer (LLM / AI Interest) | Brand new AI Platform London - 4 days a week in office (Paddington) Python, GCP, Kubernetes, Terraform, CI/CD, AI / LLM exposure / interest Here at Burns Sheehan, were working with a leading UK tech business in the payments and financial services space - processing billions in transactions each year and supporting around 20% of all UK card payments. Theyre continuing to invest heavily in their engineering function and are now expanding a dedicated AI team thats quickly becoming a key part of their technology strategy. Theyre hiring experienced Software / Platform Engineers to help build and scale their internal AI Platform - the infrastructure, tooling, and developer experience layer that enables teams across the business to develop and deploy AI-driven products. Designing and building the core AI platform that supports LLMs, agents, and other AI systems. Developing APIs, SDKs, and orchestration tooling that help product / data teams consume AI capabilities at scale. Automating infrastructure / model deployments using Kubernetes, Terraform, and CI/CD pipelines. Building and managing vector databases and retrieval systems to support RAG pipelines. Partnering closely with engineering, security, and product teams to deliver safe, production-ready AI systems. Strong background in Software or Platform Engineering - ideally with Python, Java or Go. Interest or experience in AI infrastructure, LLM tooling, or AI platform enablement. If youre interested in helping build real AI infrastructure within a fast-moving, product-led business thats making a visible impact across the UK - get in touch to find out more. Senior Software / Platform Engineer (LLM / AI Interest) | Brand new AI Platform

This is an excellent opportunity for Azure Devops Engineer Role professionals to be part of leading-edge technology projects. Cognizants Cloud, Infrastructure & Security Services Practice provides end-to-end solutions covering architecture, design, implementation, management, and on-going support across the entire enterprise technology infrastructure. Our services include a spectrum of management, consulting, and systems integration services to help our clients maximize value in their infrastructure resources, while optimizing infrastructure performance and cost. Candidates must have Security Clearance (SC Cleared) Responsibilities: Design and implement Kafka logging solutions using Fluentd/td-agent for centralized log management. Act as Azure DevOps SME. Develop file transfer solutions based on Single File Transfer Service to ensure secure data exchange. Build and configure virtual networks and subnets to support scalable and secure architecture designs. Perform patching and maintenance of virtual machines and Docker containers to ensure environment stability. Conduct penetration testing and IT health checks across all infrastructure resources to maintain compliance with Clients requirements. Implement Infrastructure as Code (IaC) practices using Terraform and related tools to automate environment provisioning. Collaborate with cross-functional teams to improve deployment pipelines, CI/CD processes, and monitoring systems. Ensure all infrastructure changes align with security, compliance, and performance standards. Required Skills Strong experience in infrastructure automation, Azure Devops and IaC scripting. Proficient in managing Terraform configurations and dependencies. Should have experience in testing Terraform infrastructure code. Should have experience in creating automated machine images for multiple platforms. Strong knowledge in configuration management and deployment automation. Hands-on experience in CI/CD pipelines and version control. Experience in building and managing distributed streaming platforms. Solid understanding of Azure services, networking, and cloud resource management. Experience with Docker and container orchestration tools (e.g., Kubernetes) preferred. Strong troubleshooting, scripting (e.g., Bash, Python), and automation mindset.

Senior Data Engineer HealthTech / AI-Driven Data Platform Paddington, London Were partnered with a fast-growing HealthTech company using data and AI to transform how healthcare organisations manage clinical and operational insights. As they scale their data capability, theyre hiring a Data Engineer to play a key role in designing and delivering the next generation of their data platform. Designing, developing, and optimising scalable data pipelines that power advanced analytics and machine learning. Building and maintaining robust ETL/ELT workflows using Python, SQL, dbt, and cloud-native tools . Implementing data quality, observability, and governance frameworks to ensure reliability and compliance. Collaborating with data scientists, analysts, and clinicians to enable actionable insights through clean, well-modelled data. Driving technical decisions across Azure Databricks , GCP BigQuery , and other modern data technologies. 4+ years experience in data engineering or analytics engineering roles. ~ Proven hands-on experience with Python , SQL , and modern data stacks ( dbt, Airflow, Databricks, or Dataform ). ~ Solid grasp of data modelling, orchestration, and CI/CD best practices . ~ Experience with Azure or GCP (Databricks, BigQuery, or Data Factory). ~ Strong communicator comfortable working with product, clinical, and data science teams. ~ Interest in contributing to data-driven healthcare innovation . Work at the intersection of healthcare and AI , solving meaningful real-world problems. Influence the technical direction of a modern cloud-first data platform . Competitive salary, equity, and benefits. Join a supportive, high-calibre engineering team committed to quality and innovation. Tech Stack: Python, SQL, dbt, Databricks, Azure, GCP, Airflow, Terraform, PySpark

Senior Software / Platform Engineer (LLM / AI Interest) | Brand new AI Platform London - 4 days a week in office (Paddington) Python, GCP, Kubernetes, Terraform, CI/CD, AI / LLM exposure / interest Here at Burns Sheehan, were working with a leading UK tech business in the payments and financial services space - processing billions in transactions each year and supporting around 20% of all UK card payments. Theyre continuing to invest heavily in their engineering function and are now expanding a dedicated AI team thats quickly becoming a key part of their technology strategy. Theyre hiring experienced Software / Platform Engineers to help build and scale their internal AI Platform - the infrastructure, tooling, and developer experience layer that enables teams across the business to develop and deploy AI-driven products. Designing and building the core AI platform that supports LLMs, agents, and other AI systems. Developing APIs, SDKs, and orchestration tooling that help product / data teams consume AI capabilities at scale. Automating infrastructure / model deployments using Kubernetes, Terraform, and CI/CD pipelines. Building and managing vector databases and retrieval systems to support RAG pipelines. Partnering closely with engineering, security, and product teams to deliver safe, production-ready AI systems. Strong background in Software or Platform Engineering - ideally with Python, Java or Go. Interest or experience in AI infrastructure, LLM tooling, or AI platform enablement. If youre interested in helping build real AI infrastructure within a fast-moving, product-led business thats making a visible impact across the UK - get in touch to find out more. Senior Software / Platform Engineer (LLM / AI Interest) | Brand new AI Platform

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. 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. Youll 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. Lead and manage a distributed team of data scientists embedded in cross-functional squads across the Planning organization. Define and communicate the long-term Data Science roadmap for agentic AI within Planning. Drive the design and deployment of multi-agent workflows using orchestration frameworks such as LangGraph, ensuring scalability, reliability, and measurable business impact. Partner with Product, Engineering, and stakeholders to align agentic AI capabilities with planner workflows and business objectives. Mentor and grow the Data Science team, fostering technical excellence, collaboration, and an iterative, prototype-driven culture. 8+ years of experience designing and deploying applied ML or AI systems into production, with at least 3+ years leading data science teams. ~ Fluent in Python and a strong interest in general software engineering principles. ~ You have worked with common python frameworks (Numpy, Pandas) ~ Demonstrated expertise with agentic AI systems , including orchestration frameworks (LangGraph preferred, LangChain or similar also considered). ~ 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. ~ Experience with agile development methodologies, such as Scrum or Kanban. AWS, Azure, GCP) and containerization technologies (e.g., Familiarity with DevOps practices and tools for continuous integration and deployment. Solid understanding of system design principles, scalability, and performance optimization. Acxiom is a customer intelligence company that provides data-driven solutions to enable the worlds 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.

About the Role As a Data Engineer at Futuria, youll play a central role in designing, building, and maintaining the scalable data infrastructure that powers our AI models and intelligent applications. Youll collaborate with AI engineers, data scientists, and product teams to ensure the seamless flow of high-quality, reliable data that drives performance and insight across the platform. Key Responsibilities Design and implement scalable, secure, and reliable data pipelines to support procedural workflow orchestration and AI agent workflows Develop and manage robust data ingestion processes (batch and streaming) from diverse sources Collaborate with AI engineers and product teams to define data requirements and integrate pipelines seamlessly with models and applications. Build and maintain ETL/ELT processes that ensure data integrity, consistency, and accuracy across systems. Optimize data infrastructure for performance, cost efficiency, and scalability in cloud environments. Develop and manage graph-based data systems (e.g. Kuzu, Neo4j, Apache AGE) to model and query complex relationships in support of Retrieval Augmented Generation (RAG) and agentic architectures. Contribute to text retrieval pipelines involving vector embeddings and knowledge graphs, for RAG. Deploy and maintain vector databases (e.g. Chroma DB, Milvus) and prompt caching systems (e.g. via Redis) Monitor, test, and troubleshoot data flows to maintain real-time access to critical information and ensure system reliability. About You We are looking for a self-starting Data Engineer who thrives in a fast-moving startup environment, is comfortable experimenting and iterating quickly, and is excited to work at the frontier of AI-driven products and agentic systems. Essential: Strong proficiency in Python and SQL for data engineering tasks NoSQL experience (e.g. MongoDB, Cassandra) Experience with message queues and publish-subscribe (e.g. NATS, RabbitMQ etc.) Proven experience designing, building, and maintaining data pipelines. Containerization experience (e.g. Docker) Hands-on experience with vector databases. Experience integrating language models (LMs) into data workflows. Proficiency with cloud platforms such as Azure, AWS, or GCP and their managed data services. Desirable: Experience with asynchronous python programming Experience with graph technologies (e.g., Kuzu, Neo4j, Apache AGE). Familiarity with embedding models (hosted or local): OpenAI, Cohere etc or HuggingFace models / sentence-transformers. Solid understanding of data modeling, warehousing, and performance optimization. Experience with messaging middleware + streaming (e.g. NATS Jetstream, Redis Streams, Apache Kafka or Pulsar etc.) Hands-on experience with data lakes, lakehouses, or components of the modern data stack. Exposure to MLOps tools and best practices. Exposure to workflow orchestration frameworks (e.g. Metaflow, Airflow, Dagster) Exposure to Kubernetes Experience working with unstructured data (e.g., logs, documents, images). Awareness of data governance, privacy standards, and high-security environments. Familiarity with containerization tools like Docker and/or Kubernetes. Success Metrics Deliver reliable and scalable data pipelines that support production-level machine learning systems. Maintain high standards for data quality, uptime, and infrastructure performance across all platforms. Accelerate AI and product team velocity by ensuring fast, dependable access to clean, well-structured, and query-efficient data. Why Join Us? Contribute to cutting-edge AI products with meaningful real-world impact. Be part of a collaborative, innovative team with opportunities to learn and grow. Enjoy flexible work arrangements, including remote/hybrid options and regular team meetups in London. Receive a competitive salary and benefits.

Enterprise Architect – Investment Technology or Asset Management London | Hybrid Up to £145k + Bonus & Benefits (Circa £22k+) Global FS organization undergoing a Global half a billion-dollar transformation with a considerable budget allocated toward their Enterprise Architecture team! (Circa 100million customers and One-Hundred thousand plus employees) You will be responsible for the entire set of applications, platforms, and services that make up the technology estate (front office, operations, distribution). Role Summary: Proven track record in leading architecture for large-scale transformation programmes (legacy to modern/cloud) with deep expertise in architectural patterns & governance frameworks (e.g., TOGAF, event-driven design, data-centric architecture). You must be a skilled communicator, able to convey complex concepts to both technical and non-technical audiences and strong leadership qualities: negotiation, influence, conflict resolution, and ability to bridge business and technology. Deep investment management / asset management domain knowledge across front office (portfolio & order management), operations, and distribution. Strong grasp of modern enterprise technology stacks : Cloud platforms (AWS, Azure, hybrid environments) Containerisation & orchestration (Kubernetes, microservices) API-first design & integration strategies Data platforms (data lakes, MDM, unified investment data hubs, analytics platforms Hands-on experience guiding systems development lifecycle from concept to deployment. Proactive, adaptable problem-solver with a “can-do” mindset. Finbourne LUSID data hub, operations automation, digital client platforms would be highly advantageous. Domain Knowledge: (Nice to Have) Asset Management – Investments, Mutual Funds, Pensions, Public and Private Assets (Real Estate, loans, etc) Capital Markets – Equities, Debt Funds and Securities Understanding of Commercial and Investment Banking

AI Engineer - Remote London - 120,000 160,000 + bonus & benefits My client are seeking an AI Engineer to design, develop, and deploy large language models and autonomous AI agents at scale. Youll work across the full ML lifecyclefrom dataset curation and model development to MLOps, production deployment, and integration of agentic reasoning pipelines into real-world applications. Competitive salary 120,000160,000 Fully remote within the UK, with hybrid options in London. Open annual leave policy Implement prompt engineering, instruction tuning, and RLHF for high-quality outputs. Build planning, decision-making, and task execution pipelines using tools such as LangChain or custom orchestrators. Implement safety, validation, and ethical guardrails for autonomous AI behaviors. Deploy and scale LLMs and autonomous agents on cloud infrastructure (AWS, GCP, Azure) using Kubernetes, Docker, or serverless architectures. Automate CI/CD pipelines, model retraining, and monitoring for performance, drift, and reliability. Build retrieval-augmented generation (RAG) pipelines and task-oriented AI agents for enterprise applications. Integrate AI agents with APIs, chatbots, and knowledge management systems. Evaluate and adopt emerging frameworks (LangChain, LlamaIndex, Hugging Face Transformers) to accelerate agentic AI deployment. Optimize distributed training on GPUs/TPUs using DeepSpeed, Ray, or Horovod. Implement mixed-precision training, model sharding, and checkpointing strategies for high-performance inference. 5+ years in AI/ML engineering or applied research, with deep experience in LLMs, generative AI, or autonomous AI agents. ~ Strong programming skills in Python, PyTorch, TensorFlow, or JAX. ~ Hands-on experience with agentic AI, multi-step reasoning, and decision-making pipelines. ~ Knowledge of RAG, vector databases, embeddings, and autonomous task orchestration. ~ Experience deploying AI models in production with MLOps best practices. ~ AWS, GCP, or Azure. ~ Advanced degree in AI, Machine Learning, NLP, Computer Science, or related field. ~ If youre interested, get in touch ASAP with a copy of your most recent and up-to-date CV and email me at m.Please Note: This is a permanent role for UK residents only. Some of our roles may be subject to successful background checks including a DBS and Credit Check. TRG are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group.

Staff Enterprise Architect - Distributed UK. Staff Enterprise Architect - Distributed UK. A mix of skills that can include an in-depth knowledge of databases (particularly relational, SQL-based), distributed systems, public cloud systems, containers and VM, orchestration tools, linux systems for ben

Our Products range from a Retail Online platform, Integration Connectivity hub and distribution APIs to name but a few and our systems are 100% cloud hosted processing up to 5. NET Core versions, K8S, microservices architecture, clouds hosting and orchestration, CI/CD pipelines, automated testing, P

Design, build, and optimize the core AI orchestration pipeline to meet the. As the Senior Backend Engineer for Application & AI Orchestration, your central challenge will be solving cumulative latency.

Team Internet is looking for an experienced DevOps Lead with exceptional leadership and mentoring skills, and deep technical expertise in cloud infrastructure and container orchestration. Our Registry Division plays a critical role in maintaining key segments of the Internet's core domain infrastruc

Job Title: Senior Project Manager (Marketing Orchestration). A Senior Project Manager with an understanding of the planning and creative process. A team player, able to work closely with Marketing Orchestration team to ensure efficient delivery of projects.

Senior UI/UX Product Designer (Competitive + Equity) at Fast-growing AI Startup. UI/UX design experience, with a strong background in complex web applications. Lead the design vision for a frontier AI platform, transforming complex AI orchestration into intuitive experiences for creators.

Contribute to APIs, services, and workflow orchestration while growing across the stack.Focus on Python/FastAPI and Prefect, with opportunities to learn Go/Rust.Implement and test FastAPI endpoints, integrations, and internal SDK utilities.Build and maintain Prefect flows and tasks; add retries, con

This globally remote role requires a Cloud Support Engineer to support customers leveraging Ubuntu and open source products. Virtualization / Cloud — primarily using KVM or OpenStack. Cloud computing expertise in provisioning, monitoring, orchestration, etc.

In this role, you will own and support the development of our data orchestration and processing pipeline. ML-enriched data for downstream tasks and ensure user data privacy. Mimica’s process intelligence highlights inefficiencies, prioritizes improvements based on ROI, recommends the optimal techn

Senior Project Manager (Marketing Orchestration). The role is client‑facing and requires delicate yet firm project leadership across the various projects. A Senior Project Manager with an understanding of the planning and creative process.

Behind everything our supporters see online, from our public websites to our mobile application, is the robust AWS infrastructure managed by the Digital Web Operations team. Deep technical knowledge of modern web application stacks, cloud infrastructure (AWS), service integration, and orchestration.

Senior Director Product Management Consumer Products - London. Director Product Manager (Data Orchestration and Insights). Director - Digital Assets Product Management.

As the Executive Housekeeper, you will be entrusted with curating an immaculate guest experience through the seamless orchestration of housekeeping, valet and laundry operations. The Waldorf Astoria London, Admiralty Arch is looking for an Executive Housekeeper to form part of the pre-opening team f

About the Role As a Data Engineer at Futuria, youll play a central role in designing, building, and maintaining the scalable data infrastructure that powers our AI models and intelligent applications. Youll collaborate with AI engineers, data scientists, and product teams to ensure the seamless flow of high-quality, reliable data that drives performance and insight across the platform. Key Responsibilities Design and implement scalable, secure, and reliable data pipelines to support procedural workflow orchestration and AI agent workflows Develop and manage robust data ingestion processes (batch and streaming) from diverse sources Collaborate with AI engineers and product teams to define data requirements and integrate pipelines seamlessly with models and applications. Build and maintain ETL/ELT processes that ensure data integrity, consistency, and accuracy across systems. Optimize data infrastructure for performance, cost efficiency, and scalability in cloud environments. Develop and manage graph-based data systems (e.g. Kuzu, Neo4j, Apache AGE) to model and query complex relationships in support of Retrieval Augmented Generation (RAG) and agentic architectures. Contribute to text retrieval pipelines involving vector embeddings and knowledge graphs, for RAG. Deploy and maintain vector databases (e.g. Chroma DB, Milvus) and prompt caching systems (e.g. via Redis) Monitor, test, and troubleshoot data flows to maintain real-time access to critical information and ensure system reliability. About You We are looking for a self-starting Data Engineer who thrives in a fast-moving startup environment, is comfortable experimenting and iterating quickly, and is excited to work at the frontier of AI-driven products and agentic systems. Essential: Strong proficiency in Python and SQL for data engineering tasks NoSQL experience (e.g. MongoDB, Cassandra) Experience with message queues and publish-subscribe (e.g. NATS, RabbitMQ etc.) Proven experience designing, building, and maintaining data pipelines. Containerization experience (e.g. Docker) Hands-on experience with vector databases. Experience integrating language models (LMs) into data workflows. Proficiency with cloud platforms such as Azure, AWS, or GCP and their managed data services. Desirable: Experience with asynchronous python programming Experience with graph technologies (e.g., Kuzu, Neo4j, Apache AGE). Familiarity with embedding models (hosted or local): OpenAI, Cohere etc or HuggingFace models / sentence-transformers. Solid understanding of data modeling, warehousing, and performance optimization. Experience with messaging middleware + streaming (e.g. NATS Jetstream, Redis Streams, Apache Kafka or Pulsar etc.) Hands-on experience with data lakes, lakehouses, or components of the modern data stack. Exposure to MLOps tools and best practices. Exposure to workflow orchestration frameworks (e.g. Metaflow, Airflow, Dagster) Exposure to Kubernetes Experience working with unstructured data (e.g., logs, documents, images). Awareness of data governance, privacy standards, and high-security environments. Familiarity with containerization tools like Docker and/or Kubernetes. Success Metrics Deliver reliable and scalable data pipelines that support production-level machine learning systems. Maintain high standards for data quality, uptime, and infrastructure performance across all platforms. Accelerate AI and product team velocity by ensuring fast, dependable access to clean, well-structured, and query-efficient data. Why Join Us? Contribute to cutting-edge AI products with meaningful real-world impact. Be part of a collaborative, innovative team with opportunities to learn and grow. Enjoy flexible work arrangements, including remote/hybrid options and regular team meetups in London. Receive a competitive salary and benefits.

We are seeking a Head of Data to develop and lead our firms data strategy and to drive the strategic use of data across the business. Reporting to the Chief Information Officer (CIO), this role will be instrumental in leveraging data insights to support key business objectives, enhance decision-making, and improve operational efficiencies. The Head of Data will ensure that data-driven initiatives align with our long-term business strategy. The successful candidate will play a pivotal role in establishing a culture of data-driven decision-making, ensuring high-quality management information, and working closely with our Head of Innovation to develop a roadmap for AI, innovation and automation. This is an excellent opportunity for an experienced data leader to shape and mature both how we capture data, its quality and how we use it. Data Strategy & Architecture Develop and execute a comprehensive data strategy (in collaboration with senior stakeholders) that aligns with the firms business goals (and its Data Principles), ensuring data - both structured and unstructured - is leveraged to drive commercial and operational value. Define the firms target data architecture, identifying master data sources and ensuring consistency of data definitions and taxonomy across business domains. Collaborate with the Head of Strategy and Architecture and the Head of Innovation, as well as key stakeholders across the firm to design and implement a modernised, cloud-based data landscape that supports analytics and AI-readiness. Data Platforms & Products Oversee the firms data platform modernisation journey, ensuring scalable infrastructure and a single source for reporting and decision-making. Work with colleagues across the firm and with the Head of Business Systems to optimise the firms data platforms and ensure their seamless transition into ongoing support structures. Contribute to the development of strategic data products (e.g. client insights dashboards, matter analytics, KPI tools) in partnership with business teams, ensuring user adoption and alignment with governance standards. Contribute to the firms AI roadmap in collaboration with the Head of Innovation and senior stakeholders, including identifying priority use cases, infrastructure needs, and measurable outcomes. Data Governance & Risk Management Lead the firms Data Governance function, establishing and chairing governance forums, defining roles (e.g. Data Owners, Stewards), and setting policies aligned with the firms Data Principles. Collaborate with the Chief Information Security Officer (CISO) to conduct data risk assessments and ensure robust frameworks for data classification, access controls, encryption, and compliance with ISO 27001/Cyber Essentials Plus and client contractual agreements. Work with the CISO and the Legal Risk and Compliance team who are the firms authority on data compliance, including GDPR, SRA confidentiality standards, and records retention requirements Implement data lifecycle management policies including data retention, archival, and secure disposal, to ensure compliance and reduce operational risk. Oversee enterprise-wide data quality initiatives, defining data quality KPIs, supporting data cleansing and enrichment programmes, and ensuring effective Master Data Management (MDM). Work closely with senior leadership to identify and develop data-driven opportunities across the firm that align with strategic priorities, championing the value of data and its role in driving business transformation. Influence and guide current staff across departments who have responsibility for data input and those that manage data flows, improving accuracy and consistency at source. Co-ordinate a lean internal data governance function and leverage existing teams across the business. Act as a key liaison between technical and business teams, ensuring alignment between data capabilities and business needs. Facilitate cross-functional data forums to ensure business engagement and alignment throughout data initiatives. Drive change management and data literacy fostering a firm-wide understanding of the value and use of data. Define and enforce data and reporting standards, ensuring consistency and clarity across all data outputs. Represent the firms data function in engagements with external vendors, consultants, and peer networks Lead the negotiation and oversight of third-party data technology providers in collaboration with our Procurement team, ensuring solutions align with strategic, operational and financial objectives. Extensive experience in data strategy development and execution, preferably within a legal, professional services, or corporate environment. Excellent understanding of data governance frameworks, regulatory compliance, and risk mitigation. Proven knowledge of AI and automation initiatives with measurable business outcomes. Experience with SQL, data orchestration tools, and Power BI. Demonstrated ability to influence senior stakeholders and communicate complex data concepts to non-technical audiences. Strong commercial acumen and ability to align data initiatives with business goals. Exceptional leadership and stakeholder management skills, with the ability to drive change and foster a data-driven culture. Ability to balance technical expertise with business insight, ensuring data initiatives drive tangible value. High level of professional integrity and confidentiality, with a strong commitment to ethical data practices. We welcome applications irrespective of race, colour, ethnic or national origin, disability, sex, gender identity, sexual orientation, age, religion, belief or marital status.

Genesys IVR Specialist London | Hybrid Is this the Genesys IVR Specialist role for you? Crone Corkill are assisting a technology consultancy as the look to hire an IVR (Interactive Voice Response) Specialist on a permanent basis. Based on feedback, theyd ideally like to see candidates with a strong focus on application level experience rather than just implementation, so if you have experience with Genesys in contact centre or customer service environments, this could be the role for you! This is a pivotal hire as they look to modernise customer interactions, migrating from legacy IVR to intelligent, natural language-driven experiences. An understanding of enterprise system design and AI/Machine Learning enabled voice applications is also ideal. What will you do as a Genesys IVR Specialist? This includes intent capture, caller ID, natural language processing, text to speech and orchestration layers What skills do you need as a Genesys IVR Specialist? Experience with Cloud platforms (ideally AWS)

DevOps Engineer Proprietary Trading | Hong Kong - Sponsorship & Relocation Support A leading proprietary trading firm is undertaking a major rebuild of its global trading platform - and the DevOps function is at the centre of that transformation. Youll work at the intersection of infrastructure, automation, and trading systems, helping design and scale deployment frameworks that support thousands of real-time processes across global markets. This isnt a maintenance role - its an opportunity to modernise the firms CI/CD, observability, and runtime environments from the ground up. What youll be doing: Engineering and optimising CI/CD pipelines and container orchestration at scale Modernising Linux-based deployment and runtime systems used by trading and quant teams Automating everything - from developer tooling to monitoring and data pipelines Collaborating directly with traders, quants, and developers in a fast-paced, low-latency environment What were looking for: ~5+ years experience in DevOps, Systems, or Platform Engineering ~ Deep knowledge of Linux, Python, and shell scripting ~ Proven experience with Kubernetes, observability tooling, and CI/CD frameworks ~ Strong grasp of distributed systems and performance tuning ~ Trading, Crypto or Hedge Fund Experience ~ Experience working in low-latency, high-frequency trading environments Why join: Work on high-impact systems that directly influence trading outcomes Collaborative, flat structure your ideas actually get implemented Competitive compensation + discretionary bonus Relocation & visa support for overseas candidates If youre a technically driven engineer who enjoys solving complex systems challenges close to the trading floor, this is one worth exploring.

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 integrate software with FPGAs and high-speed digital electronics. Develop and maintain firmware and drivers for custom hardware platforms. Analyze and optimize system performance including latency, throughput, and resource utilization. Participate in system architecture design and technical decision-making. Conduct code reviews , mentor junior engineers, and promote software best practices. Work with cross-functional teams to ensure seamless integration of hardware and software components for robust, production-ready systems. Ensure system reliability , fault tolerance , and performance in data centre environments. Required Qualifications ~ Bachelors or Masters degree in Computer Engineering , Electrical Engineering , Physics , or a related field. ~5+ years of professional experience in software development, with a focus on C++ and/or Rust . ~ Strong understanding of FPGA architectures , toolchains (e.g., Xilinx Vivado, Intel Quartus), and hardware description languages ( VHDL/Verilog ). ~ Experience with high-speed data centre and GPU interfaces (e.g., PCIe, Ethernet, Infiniband).

AI Engineer (LangGraph Expert) Salary: 90k - 130k + Equity + Bonus Location: Remote / Hybrid in London Were looking for a brilliant AI Engineer whos passionate about building intelligent, agentic systems using LangGraph. If you thrive at the intersection of LLMs, automation, and complex system design, this is your chance to shape the next generation of AI infrastructure. Design, implement, and optimize LangGraph-based AI workflows and multi-agent systems Integrate LLMs, APIs, and data pipelines into production-ready solutions Build scalable, maintainable AI applications with structured memory, tools, and dynamic reasoning paths Collaborate with cross-functional teams from data scientists to product engineers to bring cutting-edge AI features to life Continuously research and prototype new techniques in AI orchestration and agentic reasoning Proven experience with LangGraph (bonus: contributions to the open-source project) Strong background in Python, LangChain, OpenAI APIs, and LLM architectures Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering Understanding of software design principles, version control (Git), and CI/CD practices Creative problem-solver with a bias toward action and experimentation Experience deploying AI agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential Competitive salary, equity options, and great benefits If you are interested in working in a fast moving start up and leading on AI, please apply now!

AI Engineer (LangGraph Expert) Salary: 90k - 130k + Equity + Bonus Location: Remote / Hybrid in London Were looking for a brilliant AI Engineer whos passionate about building intelligent, agentic systems using LangGraph. If you thrive at the intersection of LLMs, automation, and complex system design, this is your chance to shape the next generation of AI infrastructure. Design, implement, and optimize LangGraph-based AI workflows and multi-agent systems Integrate LLMs, APIs, and data pipelines into production-ready solutions Build scalable, maintainable AI applications with structured memory, tools, and dynamic reasoning paths Collaborate with cross-functional teams from data scientists to product engineers to bring cutting-edge AI features to life Continuously research and prototype new techniques in AI orchestration and agentic reasoning Proven experience with LangGraph (bonus: contributions to the open-source project) Strong background in Python, LangChain, OpenAI APIs, and LLM architectures Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering Understanding of software design principles, version control (Git), and CI/CD practices Creative problem-solver with a bias toward action and experimentation Experience deploying AI agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential Competitive salary, equity options, and great benefits If you are interested in working in a fast moving start up and leading on AI, please apply now!

Senior Software / Platform Engineer (LLM / AI Interest) | Brand new AI Platform London - 4 days a week in office (Paddington) Python, GCP, Kubernetes, Terraform, CI/CD, AI / LLM exposure / interest Here at Burns Sheehan, were working with a leading UK tech business in the payments and financial services space - processing billions in transactions each year and supporting around 20% of all UK card payments. Theyre continuing to invest heavily in their engineering function and are now expanding a dedicated AI team thats quickly becoming a key part of their technology strategy. Theyre hiring experienced Software / Platform Engineers to help build and scale their internal AI Platform - the infrastructure, tooling, and developer experience layer that enables teams across the business to develop and deploy AI-driven products. Designing and building the core AI platform that supports LLMs, agents, and other AI systems. Developing APIs, SDKs, and orchestration tooling that help product / data teams consume AI capabilities at scale. Automating infrastructure / model deployments using Kubernetes, Terraform, and CI/CD pipelines. Building and managing vector databases and retrieval systems to support RAG pipelines. Partnering closely with engineering, security, and product teams to deliver safe, production-ready AI systems. Strong background in Software or Platform Engineering - ideally with Python, Java or Go. Interest or experience in AI infrastructure, LLM tooling, or AI platform enablement. If youre interested in helping build real AI infrastructure within a fast-moving, product-led business thats making a visible impact across the UK - get in touch to find out more. Senior Software / Platform Engineer (LLM / AI Interest) | Brand new AI Platform

AI Engineer - Remote London - 120,000 160,000 + bonus & benefits My client are seeking an AI Engineer to design, develop, and deploy large language models and autonomous AI agents at scale. Youll work across the full ML lifecyclefrom dataset curation and model development to MLOps, production deployment, and integration of agentic reasoning pipelines into real-world applications. Competitive salary 120,000160,000 Fully remote within the UK, with hybrid options in London. Open annual leave policy Implement prompt engineering, instruction tuning, and RLHF for high-quality outputs. Build planning, decision-making, and task execution pipelines using tools such as LangChain or custom orchestrators. Implement safety, validation, and ethical guardrails for autonomous AI behaviors. Deploy and scale LLMs and autonomous agents on cloud infrastructure (AWS, GCP, Azure) using Kubernetes, Docker, or serverless architectures. Automate CI/CD pipelines, model retraining, and monitoring for performance, drift, and reliability. Build retrieval-augmented generation (RAG) pipelines and task-oriented AI agents for enterprise applications. Integrate AI agents with APIs, chatbots, and knowledge management systems. Evaluate and adopt emerging frameworks (LangChain, LlamaIndex, Hugging Face Transformers) to accelerate agentic AI deployment. Optimize distributed training on GPUs/TPUs using DeepSpeed, Ray, or Horovod. Implement mixed-precision training, model sharding, and checkpointing strategies for high-performance inference. 5+ years in AI/ML engineering or applied research, with deep experience in LLMs, generative AI, or autonomous AI agents. ~ Strong programming skills in Python, PyTorch, TensorFlow, or JAX. ~ Hands-on experience with agentic AI, multi-step reasoning, and decision-making pipelines. ~ Knowledge of RAG, vector databases, embeddings, and autonomous task orchestration. ~ Experience deploying AI models in production with MLOps best practices. ~ AWS, GCP, or Azure. ~ Advanced degree in AI, Machine Learning, NLP, Computer Science, or related field. ~ If youre interested, get in touch ASAP with a copy of your most recent and up-to-date CV and email me at m.Please Note: This is a permanent role for UK residents only. Some of our roles may be subject to successful background checks including a DBS and Credit Check. TRG are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group.

Job Summary: We are looking for a highly experienced Software Automation Test Engineer in Test with a strong background in software testing, automation development, and DevOps. The ideal candidate will have hands-on experience across a wide range of technologies including Java, Node.js, CI/CD, Terraform, Azure, Docker, and service virtualisation. This role also involves working with cutting-edge AI technologies and infrastructure as code (IaC) implementations. Key Responsibilities: Design and implement scalable automated test frameworks using Java and Node.js. Develop and execute automated test suites for functional, regression, and non-functional testing (e.g., performance, scalability, reliability). Perform API testing and ensure robust validation of service integrations. Build and maintain CI/CD pipelines using GitHub Actions, Maven, and other DevOps tools. Implement Infrastructure as Code (IaC) using Terraform for consistent and repeatable environment provisioning. Work with Azure cloud services and Azure Foundry to deploy and manage test environments. Create and manage Docker containers for isolated and reproducible test setups. Collaborate on the development of Agenti AI solutions using various LLM models hosted on Azure Foundry. Apply service virtualisation techniques to simulate unavailable or third-party services during testing. Debug complex issues in Java and Node.js applications, providing detailed root cause analysis and resolution. Ensure test environments are secure, scalable, and aligned with production configurations. Document test strategies, plans, and results clearly and concisely. Communicate effectively with cross-functional teams including developers, DevOps engineers, and product owners Required Skills & Experience: Proven experience in software testing and automation development. Strong programming skills in Java and Node.js. Hands-on experience with CI/CD tools (e.g., GitHub Actions, Maven). Expertise in Terraform for IaC and cloud resource provisioning. Experience with Azure cloud services and Azure Foundry. Familiarity with Docker and container orchestration. Experience in API testing and service virtualisation. Understanding of non-functional testing principles. Demonstrated ability to debug and resolve issues in complex systems. Strong communication and collaboration skills. Experience in building automation frameworks from scratch. Preferred Qualifications: Certifications in testing (e.g., ISTQB), cloud (e.g., Azure), or DevOps are a plus. Experience with AI/ML technologies and LLM integration is highly desirable. Familiarity with container orchestration tools (e.g., Kubernetes) is a bonus.

We are looking for an experienced DevOps Engineer with a strong background in system administration and a deep understanding of Kubernetes and Anthos. Stay current with industry trends and best practices in DevOps, cloud computing, and container orchestration technologies. Proven experience of 10+ y