98 Best system integration engineer Jobs in United Kingdom (July 2025)

Role Overview A hands‑on experienced chef who can translate creative dishes into consistent, scalable execution and help steer menu evolution in line with our growth strategy. You’ll be the engine behind day‑to‑day service, quality control, and kitchen discipline. You will work closely with management, helping to ensure that every plate that leaves the pass meets our specifications, cost, and food safety standards while pushing the menu forward. Key Responsibilities Recipe & Spec Control: - Standardise recipes, plating guides, and portion sizes; maintain the master spec file. Service Leadership: - Supervise other chefs on shifts, helping them to manage timing, flow, and clear communication between stations and the front of house. Prep & Hygiene Systems: - Supervise daily prep lists, enforce mise en place standards, and manage cleaning schedules. - Lead shift briefs and on‑the‑fly training to keep standards sharp. Food‑Safety & Compliance: - Conduct spot checks on storage temperatures, date labelling, and FIFO stock rotation. - Maintain accurate HACCP logs; ensure the team’s food‑safety certifications are current. - Act as kitchen lead during Environmental Health Officer inspections. Inventory & Purchasing: - Make daily orders and monitor stock levels Menu Development & Strategic Growth: - Work with the managers to expand and fine‑tune the menu so it aligns with our commercial targets and brand direction. Innovation & Continuous Improvement: - Trial new techniques, ingredients, and equipment; integrate successful ideas into menu rollouts. Culture & Example: - Set the tone for punctuality, hygiene, and teamwork; coach junior chefs toward promotion‑readiness. Qualifications - Proven experience in supervising and managing kitchen staff - Strong culinary skills with a background in food preparation and cooking - Solid understanding of food safety regulations and practices - Experience in restaurant and hospitality settings - Leadership abilities to foster a positive team environment Job Type: Full-time Pay: £36,000.00-£40,000.00 per year Additional pay: Loyalty bonus & Performance bonus Benefits: - Company pension - Cycle to work scheme - Discounted or free food - Employee discount - Sick pay - Store discount Schedule: Weekend availability Experience: Kitchen management: 3 years (required) Licence/Certification: Food Hygiene Certificate (preferred) Work authorisation: United Kingdom (required) Work Location: In person

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Blake Corporate Limited

Canary Wharf, Tower Hamlets

Job Vacancy: Agentic AI Professional (Full-Time) Location: Canary Wharf, London (Remote or Hybrid Options Available) Type: Full-Time Sector: Artificial Intelligence, Emerging Technologies About Us: We are a forward-thinking UK-based firm at the forefront of AI innovation, focusing on the next generation of intelligent systems. Our mission is to create ethical, autonomous, and highly functional agentic AI solutions that drive transformation across industries. As we scale our operations, we're looking for a talented Agentic AI Professional who is passionate about building AI agents that can plan, reason, and act independently within complex environments. Role Overview: As an Agentic AI Professional, you will play a key role in designing, developing, and deploying autonomous agents that operate across various domains, including enterprise automation, decision-support systems, and human-AI collaboration tools. Key Responsibilities: Design and develop AI agents with goal-directed behavior and planning capabilities. Integrate LLMs, multi-agent systems, and reinforcement learning approaches. Conduct experiments and iterate based on empirical evaluation of agent performance. Work closely with product teams to deploy real-world AI solutions. Contribute to the development of safe, interpretable, and ethical agentic systems. Requirements: Proven experience working with AI agents, autonomous systems, or related fields. Strong understanding of large language models (e.g., GPT, Claude, LLaMA) and their integration with agent frameworks. Proficiency in Python and relevant AI/ML libraries (e.g., LangChain, OpenAI API, HuggingFace, PyTorch). Familiarity with agentic AI architectures (e.g., ReAct, AutoGPT, OpenAgents, or custom multi-agent systems). Experience with planning, reasoning, and memory modules. Excellent problem-solving and communication skills. Degree in Computer Science, Artificial Intelligence, or a related field (or relative experience) Preferred Qualifications: Experience deploying AI agents in production environments. Knowledge of symbolic reasoning, cognitive architectures, or goal-oriented planning. Contributions to open-source agentic AI projects. Understanding of AI ethics, safety, and alignment. What We Offer: Competitive salary and benefits package. Flexible work schedule and remote work options. Access to cutting-edge compute resources and research collaborations. Opportunity to work on high-impact projects in a fast-growing space. A culture of innovation, autonomy, and continuous learning. How to Apply: Please send your CV, a brief cover letter, and (if available) links to any relevant projects or GitHub profiles. Applications are reviewed on a rolling basis.

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Quant.ai

Agentic AI Consultant

Location - Oval, South London (Onsite) ** Type -** Full-Time Start Day - Immediate ** Salary -** £30,000 - £35,000 (top end reserved for outstanding candidates) ** Headquarters -** New York, NY, USA ** About Quant.ai** Quant.ai is building the world’s most advanced Agentic AI – transforming customer service, outbound engagement, and internal decision-making for global enterprises. Our technology helps clients reduce inbound volume, improve response times, and deliver futuristic digital experiences powered by human-like AI. We’re now opening a new office in Oval, South London, and we're looking for our first wave of AI-enhanced customer service reps to help us scale. The existing team in London is small but mighty – 5 people aged 24-27 – and we’re building a collaborative, fast-moving culture where you’ll grow quickly. Our global team (75+) is led by Chetan Dube, former founder & CEO of Amelia ** The Role** As a Customer Service Representative working in tandem with our Agentic AI, you’ll step in when the AI is unable to fully resolve a customer query on behalf of one of our enterprise clients. You’ll not only provide a human touch to resolve the customer’s issue – but also investigate what went wrong, working alongside engineers and product teams to improve the AI’s performance. This is an ideal role for someone in customer support looking to break into the world of AI and tech. No real prior experience is required – we’re just looking for someone with the right attitude. Full training provided. ** What You’ll Do** - Take over live chats, calls, or tickets escalated by our Agentic AI for one of our clients (e.g., in banking, energy, insurance, or telco) - Calm and resolve customer frustrations when the AI couldn’t resolve their problem - Troubleshoot why the AI failed (e.g., gaps in logic, language understanding, integrations) - Conduct light QA and error analysis across transcripts and system logs - Collaborate with product managers and engineers to improve AI flows - Participate in project management cycles for continuous iteration and model training - Learn the ins and outs of agentic systems, prompt design, and conversational logic - Help shape a brand new category of support – Human-AI collaboration ** What We're Looking For** 1. 1+ years experience in customer service (live chat, phone, or email-based) is great – but not required 2. Excellent written and verbal communication 3. Ability to empathize with frustrated customers and stay calm under pressure 4. Strong problem-solving mindset and curiosity – especially around how things work 5. Comfortable working with technical teams (no coding required – training provided) 6. Highly organized, proactive, and detail-oriented 7. Eagerness to learn AI technologies, tools, and workflows ** Nice to Have (But Not Required)** ** ** ** Why This Role Matters** This is not a traditional customer service role. You’ll be the human failsafe for some of the world’s most advanced enterprise AI systems – and the bridge between customers and technology. Your feedback will shape how millions of future interactions are handled.

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Seetha Software Solutions

Software Engineer/DevOps Engineer City of London £Competitive plus strong bonus and benefits Azure, Terraform, Data Tooling DevOps Engineer is sought to join a highly prestigious financial services organisation. This is a key role that will see you taking responsibility for developing Microsoft Fabric related DevOps processes, ensuring the correct balance between environmental control and ensuring Data Engineering teams have the flexibility to work efficiently. You will create bespoke modules in Terraform and actions in GitHub (or Azure DevOps) to support CI/CD workflows. You will also liaise with teams across the business to ensure the platform meets all security and performance requirements. Key Responsibilities Develop standards and strategies to manage the deployment of assets into the Microsoft Fabric ecosystem. Where required create custom actions in GitHub/Azure DevOps that use the Microsoft Fabric APIs. Where required create custom terraform modules to ensure Microsoft Fabric configuration is held as infrastructure as code. Work with Data Engineers to create the development environments engineers will use to develop and deploy products in Microsoft Fabric. Work with data owners around the business to ensure source data systems can be securely accessed. Ensure security best practices are followed. BCP/DR strategy. Work with other members of the central platform team to monitor the Microsoft Fabric feature roadmap and integrate new features into the established eco-system. Work with other members of the central platform team to define an efficient project process to deliver new data products. Key Technical Skills and Experience Terraform Modules Infrastructure as code GitHub/Azure DevOps Azure Data Factory Azure Synapse CI/CD including Databases Databricks GitHub Actions/Azure DevOps Tasks Monitoring in Azure Release Management Experience Microsoft Fabric (not essential) Curious to learn new sectors like AI, ML (Not essential) Minimum 6 years working in a cloud environment managing data engineering products.

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