DCV Technologies

Software Integration Engineer (Automotive / Embedded Systems) We are recruiting an experienced Software Integration Engineer to support the integration and validation of automotive embedded software within real vehicle and ECU environments. This is a hands-on contract role focused on AUTOSAR-based systems, vehicle bring-up and in-vehicle testing. You will work across ECUs, embedded platforms and vehicle systems, integrating new software, debugging complex issues and supporting end-to-end vehicle validation. The role suits an engineer who enjoys hands-on problem solving and close collaboration with cross-functional engineering teams. Key Responsibilities: Integrate automotive software into ECUs and vehicle platforms Perform vehicle integration, bring-up and validation testing Debug and resolve software and system-level issues Use Vector tools such as CANoe, CANalyzer and CAPL Work with CAN, LIN, FlexRay and Automotive Ethernet Support ECU flashing, configuration and log analysis Collaborate with system architects and domain experts Essential Skills & Experience: Automotive embedded software or vehicle integration experience Strong knowledge of AUTOSAR (BSW, RTE) Hands-on experience with Vector CAN tools ECU integration, flashing and debugging experience Vehicle testing, HIL or in-vehicle validation exposure Understanding of body systems or vehicle networks Desirable: ADAS or body systems experience CAPL scripting OEM or Tier-1 automotive background This role is ideal for a Senior or Lead-level Integration Engineer looking for a technically challenging, delivery-focused contract within automotive software and vehicle systems. Apply now for immediate consideration.

Position: Data & AI Scientist Location: London, UK (Hybrid-3 days a week from office) long term contract position Program Scope: Developing and provisioning of infrastructure that support agentic workflows across both Azure and GCP Data science expertise to help shape the agentic solution design of Coach AI as well as target state AI Assistant Creation of agent integration patterns to fulfil and action on behalf of customers by leveraging Bank systems Development of new AI products for the Conversational Banking Lab, including but not limited to: Agent summarisation - bespoke features to summarise nuanced conversations App search evolution - transforming the existing vector search functionality into a fully generative experience and transition to single experience point Evaluation methods - continued automation of both deterministic and generative conversations in a scaled and simulated way Key Skills/Knowledge: Data & AI Scientist Must haves Python literacy - min 2years+ working on production grade LLM based applications AgenticAI - Langgraph, ADK, CrewAI, multi-agent architectures - experience in building deployable solutions, not jupyter notebooks AI Engineering - RAG pipelines, prompt engineering, VertexAI experience, LLMOps and runtime evaluation/monitoring Nice to haves Responsible AI - strong understanding of AI ethics, risks and mitigations incl. guardrail development • Exposure to Agile/Scrum methodologies.

Position: ML & AI Engineer Location: London, UK (Hybrid-3 days a week from office) long term contract position Program Scope: Developing and provisioning of infrastructure that support agentic workflows across both Azure and GCP Data science expertise to help shape the agentic solution design of Coach AI as well as target state AI Assistant Creation of agent integration patterns to fulfil and action on behalf of customers by leveraging Bank systems Development of new AI products for the Conversational Banking Lab, including but not limited to: Agent summarisation - bespoke features to summarise nuanced conversations App search evolution - transforming the existing vector search functionality into a fully generative experience and transition to single experience point Evaluation methods - continued automation of both deterministic and generative conversations in a scaled and simulated way Key Skills/Knowledge: ML & AI Engineer Must haves Python literacy - min 2years+ working on production grade LLM based applications Software Engineering - strong understanding of microservices architecture, CI/CD pipelines, event driven architecture AI Engineering - RAG pipelines, prompt engineering, VertexAI experience, LLMOps and runtime evaluation/monitoring Data engineering - scaled data pipelines using python/spark. GCP native services: BQ, Spanner, Dataflow, Firestore Nice to haves AgenticAI - Langgraph, ADK, CrewAI, multi-agent architectures - experience in building deployable solutions, not jupyter notebooks Data ontologies - graphical approaches to data storage + retrieval Exposure to Agile/Scrum methodologies

Job Title: AI Engineer / Data & AI Scientist (LLM, Generative AI, Python) We are recruiting for an AI Engineer / Data & AI Scientist to join a high-impact programme building next-generation conversational AI and generative AI platforms. This role focuses on developing production-grade LLM applications, agent-based AI systems and RAG pipelines used in large-scale customer-facing environments. This is an opportunity to work on advanced AI assistant and conversational AI technology, building scalable multi-agent architectures and generative search systems using modern AI frameworks. Key Responsibilities Design and build LLM-powered applications using Python and Generative AI frameworks Develop RAG (Retrieval Augmented Generation) pipelines and AI orchestration workflows Build and deploy agent-based AI systems using tools such as LangGraph, CrewAI or similar frameworks Engineer scalable AI infrastructure across Azure and GCP environments Implement prompt engineering, model evaluation and LLMOps monitoring Develop AI products including conversational AI assistants, summarisation tools and generative search capabilities Required Skills Strong Python development experience Experience building production LLM or Generative AI applications Knowledge of RAG pipelines, prompt engineering and vector search Experience with agentic AI frameworks (LangGraph, CrewAI or similar) Exposure to LLMOps, model evaluation or monitoring Experience with cloud AI platforms such as Azure AI or Vertex AI (GCP) Desirable Experience Conversational AI or AI assistant platforms Multi-agent architectures Responsible AI, AI ethics or guardrail design Agile / Scrum environments This is an excellent opportunity for an AI Engineer, Machine Learning Engineer, LLM Engineer or Generative AI Engineer looking to build production AI systems and next-generation conversational AI platforms. Apply now to work on cutting-edge generative AI and LLM technologies.

Position: Forward Deployed Engineer (B2) Location: London, UK (Hybrid) Permanent position Job Requirements Experience building GenAI applications, including RAG, multi-agent systems, fine-tuning, etc., with tools such as LangChain, LangGraph etc. Clear understanding of Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.) Experience with DevOps tools: Kubernetes, Docker, Terraform, CI/CD Pipelines, GitHub/GitLab, GitOps, GitHub Actions, Jira, Jenkins, CircleCI, Datadog, Slack. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike 5+ years of engineering and technical deployment experience in a customer-facing set up Should scoped and delivered complex systems in rapid and ambiguous environments Delivered production-grade code across frontend and backend using Python, JavaScript, or similar stacks Understand how AI model behaviour affects product experience Communicate clearly with engineers, product teams, and customer stakeholders Flag risks early and seek attention as per the severity Key responsibilities: Help clients integrate and adopt the offerings; demonstrate the impact / outcomes the offerings commited such as KPI improvements and help client succeed Embed within the client landscape, understand their domain and co-develop solutions with the core product engineering teams Own technical delivery across multiple deployments from prototype to stable release Build bespoke AI and transformative agentic AI solutions Technical debugging and root cause analysis Rapid prototyping Implement and administer best practices

Senior Agentic & Generative AI Consultant London (Hybrid) £120,000 £150,000 + Benefits We are hiring a Senior Agentic & Generative AI Consultant to lead enterprise AI transformation programmes across complex, large-scale organisations. This is a high-impact consulting role combining AI strategy, solution architecture and hands-on delivery across Generative AI, Large Language Models (LLMs), Agentic AI and Retrieval-Augmented Generation (RAG). Key Responsibilities: Lead AI strategy and executive advisory engagements Architect enterprise-grade Generative AI and Agentic AI solutions Design multi-agent systems, orchestration frameworks and RAG pipelines Own end-to-end solution architecture from discovery to implementation Shape AI-led deal pursuits, presales and business cases Define AI operating models, governance and responsible AI frameworks Integrate AI solutions with ERP, CRM and enterprise platforms Required Experience: Strong consulting background in AI / digital transformation Deep hands-on experience with LLMs, Generative AI and RAG architectures Experience with vector databases, embeddings and orchestration frameworks Enterprise solution architecture and systems integration Executive stakeholder engagement and deal leadership Experience across cloud AI platforms (Azure AI, AWS, GCP) is highly desirable. This role suits a Principal AI Consultant, AI Architect, AI Director or AI Practice Lead looking to shape enterprise AI strategy while remaining technically hands-on. Apply now to lead cutting-edge Agentic AI and Generative AI transformation programmes.

Forward Deployed Engineer Generative AI / LLM Deployment GenAI LangChain RAG AWS Kubernetes Customer-Facing We are hiring a Forward Deployed Engineer to lead the deployment of production-grade Generative AI and LLM solutions into enterprise environments. This is a hands-on, customer-facing role focused on building and deploying RAG pipelines, multi-agent systems and fine-tuned LLM applications using tools such as LangChain and LangGraph. You will embed with client teams, own technical delivery from prototype to production, and demonstrate measurable KPI impact. Key Responsibilities Design and deploy GenAI / LLM applications (RAG, agentic AI, fine-tuning) Lead production deployment on AWS, Azure or GCP Build scalable backend systems in Python (JavaScript a plus) Manage infrastructure using Kubernetes, Docker, Terraform Own end-to-end technical delivery across multiple client deployments Conduct debugging, optimisation and root cause analysis Communicate complex AI concepts to technical and non-technical stakeholders Requirements Strong experience building and deploying LLM / Generative AI solutions Hands-on with LangChain, RAG, multi-agent systems Cloud ML deployment experience (AWS, Azure or GCP) DevOps tooling: Kubernetes, CI/CD, GitHub, GitOps Customer-facing technical delivery experience Background in Machine Learning, Data Science or AI Engineering This role suits a Senior Machine Learning Engineer, Applied AI Engineer, AI Solutions Engineer or LLM Engineer who enjoys client impact, rapid prototyping and owning delivery in fast-moving environments. Apply now to work at the forefront of enterprise AI deployment and agentic systems.

Drupal Developer - Fully remote We have a fantastic opportunity for a Senior Drupal Developer to join a self-managing, agile team within the Sales and Marketing Team, you'll use modern web technologies to drive developments which enhance the user experience. This role is a permanent position Fully Remote Role purpose: You'll take a proactive approach in development of services for our customers, as well as identifying and resolving issues, and working closely with all stakeholders to help define requirements, by providing an in-depth technical input. You will be passionate about the production of high quality, reusable, and extensible code, and will champion this amongst the team, encouraging high development standards and practices. The Drupal Developer will also take an active interest in all technologies used at the organisation, and how they can be used to improve the customer experience, and effectiveness of the team. Key duties and responsibilities: Working with the UX and design teams and other internal/external stakeholders to understand, challenge and document requirements for developments which enhance the learner experience. Support the creation of stories and technical sub-tasks in relation to developments using PHP, Drupal, and other technologies in use. Maintain and enhance the websites through PHP, new modules, unit testing functionality and deploying updates. Ensure standards for web design, UI, HTML5 and JavaScript are met and meet other relevant international standards and protocols where appropriate and agreed. Research, design, test and implement web technologies to improve customer experience and/or marketing reach. Evaluate, make recommendations, and deploy new software/hardware as necessary, to support the usability and functionality of the websites. Assist with management of the internal and external server infrastructure that supports prime activities of web development and software application development. Administer and carry out configuration management for new support tools/software as necessary. Manage Front End cache solutions, web Servers, databases and application management. Produce documentation appropriate to each project to track the online customer experience and ensure team members and key stakeholders are kept informed. Apply knowledge of industry trends and developments to improve service to our customers. Act as liaison between stakeholders, marketing and IT engagement teams on technical matters. Work with external organisations as required to scope and deliver projects. Provide quality assurance and supervision of outputs. Person specification: Required 5+ years' relevant professional experience. Ability to extract and translate user/stakeholder requirements into suitable documentation and to communicate colleagues clearly and without unnecessary jargon. Excellent understanding of functional requirements frameworks and concepts with good analytical and problem-solving skills. Experience of delivering within an agile environment. Comfortable working in a dynamic, large-scale, agile change initiative with multiple technologies A fan of, a genuine interest in and a willingness to learn and develop skills in new technology outside of their direct role. Experience/knowledge of the following: Object-oriented MVC development patterns JavaScript HTML 5 Drupal 7, Drupal 8/9, Drush Twig Composer package management git, git flow, git merge, git subtree AMP stack Apache configuration and administration Apache SOLR PhpUnit, Behat PHP_CodeSniffer, ESLint, stylelint Jetbrains PhpStorm xdebug Nice to have Google Analytics, Google Tag Manager SCSS, Compass, Ruby gems NodeJS, Nuxt.js JIRA, Bitbucket, Confluence, Bamboo AI/indexing/search tech eg Algolia

Python Developer - Fully remote Are you Python Developer looking for the next step in your career? This is a fantastic opportunity for a Python Developer with 3 - 6 years current experience. Working with an innovative and vibrant team you will have worked with Django web Frameworks and ideally in an AWS environment. Any experience with React, JSON, JavaScript would be ideal as would some DevOps experience. This amazing organisation is still at the start of there journey and are continuing to go from strength to strength. You will join a team of highly skilled Python experts to develop existing and new features, apps and developments. The position will provide real career development both in technology and position and offers a great salary along with Equity in the organisation. The position offers a great basic salary with Equity in the organisation and benefits Mandatory Skills: 3 - 6+ Years' Experience in Python Development Django web Framework Strong AWS experience ideal SQL/PostgreSQL knowledge HTML/CSS Beneficial: Experience working in a start-up environment University Degree in Computer Science/Information Technology or similar Experience of React highly beneficial JSON APIs JavaScript DevOps Experience React.js