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Senior Agentic & Generative AI Consultant Location London, United Kingdom (Hybrid) Role Overview We are seeking a Senior Agentic & Generative AI Consultant who is a recognized thought leader and hands on practitioner in modern AI systems. This individual will play a pivotal role in shaping AI led transformation for enterprise clients, leading complex deals, architecting solutions, and translating cutting edge AI capabilities into measurable business outcomes. This role requires a rare combination of deep technical expertise, strategic thinking, and client facing leadership. The successful candidate will work closely with business leaders, architects, and delivery teams to design and deliver agentic, generative, and enterprise scale AI solutions, while also influencing AI strategy and go to market motions. Key Responsibilities AI Strategy & Thought Leadership • Act as a senior thought leader in Agentic AI and Generative AI, shaping client conversations, executive briefings, and AI transformation roadmaps, • Advise C suite and senior stakeholders on AI strategy, operating models, governance, and responsible AI adoption, • Contribute to internal AI points of view, reference architectures, accelerators, and best practices, • Stay ahead of industry trends in agentic systems, foundation models, orchestration frameworks, and enterprise AI platforms Deal Leadership & Solutioning • Lead AI led deal pursuits, including opportunity shaping, solution design, estimations, and executive presentations, • Own the end to end solution architecture for complex AI engagements, from discovery through implementation, • Partner with sales, industry leaders, and delivery teams to craft compelling AI value propositions and business cases, • Act as a trusted advisor during client evaluations, PoCs, and pilots Hands on Technical Leadership • Design and guide the implementation of Agentic AI systems, including: o Multi agent architectures o Tool using and reasoning agents o Human in the loop workflows o Orchestration and memory patterns • Lead solution design using Generative AI and LLM ecosystems, including: o Prompt engineering and prompt pipelines o RAG (Retrieval Augmented Generation) architectures o Model fine tuning and evaluation strategies • Provide technical oversight and mentoring to engineering and data science teams Enterprise AI Delivery & Governance • Design AI solutions that integrate with enterprise systems (e.g., ERP, CRM, digital platforms, data platforms), • Ensure solutions align with security, compliance, data privacy, and responsible AI principles, • Define AI operating models covering lifecycle management, monitoring, cost optimization, and scalability Required Skills & Experience Core Experience • 15+ years of experience in technology consulting, digital transformation, or advanced analytics, • 5+ years of hands on experience in AI / ML, with strong recent focus on Generative AI and Agentic AI, • Proven experience leading complex enterprise deals and large scale solutioning efforts Technical Expertise • Strong hands on experience with: o Large Language Models (LLMs) and GenAI platforms o Agentic frameworks and orchestration patterns o RAG pipelines, vector databases, and embeddings • Experience across major AI ecosystems (e.g., cloud AI platforms, open source LLM tooling), • Solid understanding of data engineering, APIs, and enterprise integration patterns Consulting & Leadership Skills • Strong client facing presence, capable of leading executive level discussions, • Ability to translate complex AI concepts into clear business value narratives, • Experience mentoring senior architects, engineers, and consultants, • Comfortable operating in ambiguous, fast evolving AI landscapes Nice to Have • Experience with enterprise platforms (e.g., ERP, digital experience platforms, CRM, or industry specific systems), • Exposure to regulated industries (financial services, healthcare, public sector, etc.), • Publications, speaking engagements, or visible contributions to the AI community, • Experience shaping AI Centers of Excellence (CoEs) or enterprise AI operating models What We Offer • Opportunity to shape and lead AI transformation for global enterprises, • Work at the forefront of Agentic and Generative AI innovation, • High impact role with visibility across senior leadership and marquee clients, • Competitive compensation and benefits, • Flexible working model based in London

To apply, please send the following to • Your resume / CV, • A short blurb introducing yourself and explaining why you are a good fit for the Hive, and confirming which location your're applying to (New York or London). Keep it short & real, no need for a fancy cover letter!, • Links to anything cool you’ve built with AI for work, school, or even just on your own time Position Overview The AI Hive is TowerBrook’s new fellowship for applied AI builders. This is not an analyst program and it is not a consulting role. Fellows do not produce slides about what AI could do. Fellows train intensively inside TowerBrook for six months, with the opportunity to progress into a twelve-month embed inside one of our portfolio companies as an Applied AI Engineer, working directly with CEOs and operating teams to ship AI-native solutions that move real numbers. The fellowship runs in two phases. In Phase 1 (six months), fellows are based at TowerBrook in New York or London, training with leading external AI partners and shipping high-priority internal projects across the firm. Fellows who excel in Phase 1 are considered for Phase 2 (twelve months): a full-time, onsite embed inside a TowerBrook portfolio company, working in person alongside the management team and reporting to the CEO, CTO, or Head of AI, and delivering milestone-based work with measured business outcomes. Fellows in this first cohort will have a unique opportunity to shape how TowerBrook builds and deploys AI talent across the portfolio Responsibilities Phase 1. Inside TowerBrook (Months 1 to 6) • Complete a three-week intensive training program with a leading AI-native training partner, covering prompt engineering, agent architecture, Claude Code and other coding assistants, workflow automation (n8n, Lovable), Python, and enterprise AI governance., • Pair with internal devs and senior engineers from best-in-class applied AI firms on live TowerBrook projects, shipping working prototypes within the first six weeks., • Lead at least two internal builds with named senior sponsors as business owners. Projects may span front, middle, or back office (investment teams, operations, finance, IR, compliance, knowledge management) depending on firm priority. Deliver shipped output, not recommendations., • Contribute to the shared Hive knowledge base (reusable agents, templates, playbooks) that compounds across future cohorts. Phase 2. Portfolio Company Assignment (Months 7 to 18) • Match into a portfolio company across TowerBrook verticals based on fit, and relocate as needed to work onsite at the company’s primary office for the duration of the twelve-month embed. Matching is jointly led by the Program Lead, the senior program sponsor, and TowerBrook’s Technology Operating Partners., • Run a four-week diagnostic sprint: map workflows, validate pain points, and produce a twelve-month build roadmap signed off by the company CEO and the TCP sponsor., • Execute three to five milestone-based build sprints of eight to twelve weeks, each delivering measured output (hours saved, revenue uplift, cost reduction, new capability shipped)., • Report directly to the company CEO, CTO, or Head of AI, while retaining ongoing connectivity to TowerBrook for the duration of the engagement., • Attend monthly Hive-wide cross-pollination sessions with other fellows and coordinators. Document learnings for the Hive knowledge base., • At the close of the twelve-month deployment, transition into one of four paths: a full-time role at the portfolio company, redeployment to a second company, a role at TowerBrook, or release into the TCP alumni network. Professional Qualifications & Experience • One to three years of post-university experience in a builder role. We read “builder” broadly: software engineering, data, product, operations with automation exposure, quantitative research, consulting with hands-on implementation, or early-stage startups. Candidates with fewer than one year or more than three years of experience are out of scope for the pilot cohort., • A technical or quantitative undergraduate background is welcome: computer science, engineering, physics, applied mathematics, statistics, computational biology, industrial engineering, operations research, information systems, or quantitative economics. We will also consider non-technical majors with visible builder evidence such as a GitHub portfolio, shipped side projects, or published technical writing., • Fluency with modern AI tools. You already use Claude or ChatGPT daily as a core part of your workflow, not as a novelty., • Working proficiency in Python or another scripting language is a plus — enough to prototype end-to-end without supervision is ideal, but not required. Formal ML engineering or data science experience is not required and is not what we are optimizing for., • Demonstrated evidence of shipped work outside a structured environment: a side project, an automation built at a previous role that nobody asked for, a product used by real users, or published writing with an audience. What you built matters more than where you built it., • Right to work in the United States (for New York candidates) or the United Kingdom (for London candidates) is preferred. Visa support may be available for exceptional candidates. Personal Qualifications • Stakeholder presence. At ease working with a company CEO or a TowerBrook partner, approaching business problems with curiosity and humility., • AI-native instinct. You reach for AI tools naturally during ideation and problem solving., • Builder disposition and bias for action. You try things rather than endlessly plan, and you pick up new tools quickly, including things outside your formal training., • Written communication. You can produce a crisp one-pager that a senior partner or a company CFO will actually read. Compensation & Benefits of working at TowerBrook • Private medical insurance, • Pension scheme with employer contribution, • Intensive applied AI training with a curated set of leading external partners across AI-native education and applied engineering, • Direct mentorship from senior TowerBrook partners, Technology Operating Partners, and portfolio company CEOs, • Guest seminar program featuring frontier AI lab teams, applied AI practitioners, and high-signal technical writers, • Clear post-fellowship pathways: full-time hire at the portfolio company, full-time role at TowerBrook (Applied Engineer, investment associate, or Hive coordinator), redeployment to a second portfolio company, or release into the TCP alumni network, • Access to cutting-edge AI tooling and early-access relationships with leading AI labs through TowerBrook’s partner networks, • A collaborative, entrepreneurial culture within a globally respected investment firm

Quantitative Developer - LNG - London THE ROLE We are seeking a highly skilled and motivated Quantitative Engineer with a focus on Commodities Trading, and ideally LNG .You will be part of a small but growing team where you will work directly with the business on complex technology trading problems. You will collaborate with Analysts, Traders and Software Engineers cross-functionally. KEY RESPONSIBILITIES • Work closely with the trading desks (traders, originators, structurers and analysts) to acquire in-depth business knowledge, identify their challenges, and capture specific needs., • Design and build scalable, high-performance end-to-end applications and implement quantitative models for structuring deal evaluations, trading, risk management and portfolio optimization., • Calibrate models to market data, including curves, volatilities, and correlations; perform back-testing, stress testing, and monitor model performance., • Implement robust applications to replace Excel-based processes where applicable, to enhance reliability, reduce operational complexity and minimise operational risk., • Contribute to the development of the shared quantitative platform designed to support all trading desks., • Utilise cutting-edge technologies, such as cloud computing, to drive improvements in efficiency and productivity for the trading desk., • Take ownership of the delivery and maintenance of high-quality code and provide prompt, effective support to resolve issues as they arise. Qualifications and Requirements: • Degree educated in either Computer Science, Mathematics, Statistics, Financial Engineering, or a related quantitative field., • Strong programming skills and advanced proficiency in Python., • Strong understanding of probability theory and derivative option pricing., • Experience with front-end frameworks such as Angular or React, and understanding of database management, including SQL or NoSQL systems., • Experience with Continuous Integration/Continuous Deployment (CI/CD) practices and cloud computing platforms., • Intellectual curiosity and willingness to learn new models and physical commodity markets., • Excellent problem-solving skills and a strong attention to detail., • Strong stakeholder communication skills., • Prior experience in commodities trading is beneficial but not required.

AI Engineer (Copilot Studio / Microsoft AI) 💰 £60k–£95k + bonus + package 📍 London / Manchester / Leeds (Hybrid) We’re partnering with a leading Microsoft consultancy scaling its Data & AI practice across the UK, hiring multiple AI Engineers to deliver real, production-grade AI solutions. This is hands-on. Client-facing. Proper engineering. What you’ll actually be doing: • Building AI agents using Microsoft Copilot Studio, • Designing scalable solutions with Azure AI Foundry + Azure services, • Embedding AI into real business workflows (not just POCs), • Working directly with clients across FS, Public Sector & Pharma, • Leading dev teams as you progress What they need: • Experience with Copilot Studio (non-negotiable for this role), • Strong prompt engineering (optimisation, guardrails, evaluation), • Background delivering AI / automation solutions in a client setting Why it’s worth a conversation: • 100% delivery focus – no heavy sales/bid work, • Real AI engineering (not advisory), • Clear progression (Analyst → Manager), • 80+ hours annual learning + certifications, • Work with one of Microsoft’s top global partners This is a proper hands on builder role. If your interested in a quick chat, reach out to

About the Business Quilter plc is a leading wealth management business, helping to enable brighter financial futures for every generation. Quilter oversees £126.3 billion in customer investments (as of August 2025). It has an adviser and customer offering spanning financial advice, investment platforms, multi-asset investment solutions, and discretionary fund management. The business is comprised of two segments: Affluent and High Net Worth. Affluent encompasses the financial planning business, Quilter Financial Planning, the Quilter Investment Platform and Quilter Investors, the multi-asset investment solutions business. High Net Worth includes the discretionary fund management business, Quilter Cheviot, together with Quilter Cheviot Financial Planning - offering a highly personalised service to private clients, charities, trustees, and professional partners. Quilter Cheviot has presence throughout the UK, Ireland and Channel Islands. At Quilter we never stand still. Our foundations are rooted in our extraordinary expertise, which is trusted by hundreds of thousands of customers, but we have great ambitions to stay one step ahead and make an even greater difference to the people and communities we serve, including our colleagues. Our business is transforming, continually modernising, and becoming even more customer centric. So, if you want to be bold in the pursuit of your ambitions, bring new ideas, and challenge and evolve what we do, it's the perfect time to join us! About the Role Level : 4 Department: COO Location : Southampton or London Contract type : Permanent The new role sits within AI Centre of Excellence department under Chief Operating Office (COO). The key accountabilities for the role are as follows: • AI/ML Solution Delivery: Hands on end-to-end development and deployment of both traditional and GenAI-based machine learning models, including discovery analytics, experimental design, model development, benchmarking, enhancement and deployment., • LLM & RAG Integration: Design and implement new Retrieval-Augmented Generation (RAG) pipelines and enhance existing frameworks, applying advanced techniques in data chunking/splitting, vectorization, knowledge graph representation (GraphRAG), and query retrieval and evaluation., • Model Evaluation & Prompt Engineering: Design and execute experiments to benchmark and evaluate model performance using both classical metrics (precision, recall, F-score) and GenAI-specific techniques (LLM-as-a-Judge, ROUGE, BERTScore). Develop and refine prompts to optimise GenAI model reasoning, accuracy, and overall effectiveness., • Cross-Functional Collaboration: Work closely with business partners, stakeholders, and technical teams (data engineering, platform engineering) to translate business requirements into impactful AI solutions., • Research & Innovation: Stay abreast of emerging tools, techniques, and best practices in LLMs, RAG, GenAI, model development & evaluation techniques and proactively apply new knowledge to drive innovation.About You Qualifications • Advanced degree (MSc or PhD) in Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field., • Proven track record of delivering AI solutions from research to production in real-world applications.Knowledge, • Strong foundation in machine learning algorithms and deep learning concepts including Neural Networks and Transformer-based architectures., • Knowledge in developing and deploying scalable models on Databricks, Azure, and AWS, leveraging tools such as FastAPI and Docker., • Proficient in model tracing and observability for LLM in production and implementing evaluation frameworks for model quality and reliability., • Strong understanding of software engineering best practices, including version control, testing, and CI/CD for production-ready AI systems., • Domain expertise in financial services or other regulated industries is highly desirable.Experience, • Strong experience in AI/ML research and development, specializing in deep learning-based NLP, Information Retrieval, and Generative AI., • Proven expertise in RAG/GraphRAG pipeline development and evaluation, including advanced retriever-reranker techniques., • Experience in building knowledge bases and ontologies is highly desirable., • Extensive experience in defining and implementing evaluation metrics for GenAI systems such as Recall, Precision, NDCG, LLM-as-a-Judge, BERTScore, BLEU score, and hallucination detection., • Provide mentorship and technical guidance to junior AI ScientistsSkills, • Strong proficiency in Python and experience with frameworks such as NumPy, Pandas, Scikit-learn, and modern Generative AI libraries (e.g., LangChain, LlamaIndex, Azure AI Foundry)., • Hands-on experience with PyTorch, and leading LLM libraries such as Hugging Face, LangChain, LangGraph, and LlamaIndex., • Skilled in hypothesis formulation, defining evaluation metrics, conducting literature reviews, and building reproducible prototypes with critical outcome analysis., • Rapid Experimentation Mindset: Comfortable with a fail-fast, learn-fast approach, iterating quickly to validate ideas and accelerate innovation., • Exceptional problem-solving skills and a strong passion for innovation., • Excellent communication and collaboration abilities, thriving in cross-functional environments.Inclusion & Diversity We value diversity and strive to promote inclusivity in all aspects of our culture. We believe in equal opportunities for all, ensuring that no applicant encounters less favourable treatment based on anything but their skills, qualifications, experience, and potential. We celebrate the unique contributions of a diverse workforce and create a respectful, nurturing environment where every colleague can thrive. Values Do the right thing: We act with integrity and are proudly committed to going above and beyond in service of our clients and the support we provide our communities. Always curious: We continuously seek new ideas and knowledge so we're one step ahead of our clients' needs. We look for inspiration everywhere and encourage experimentation, recognising that this is how we create brilliant solutions for brighter futures. Embrace challenge: We aim high to transform our potential into meaningful outcomes. With ambition as our driving force and a steadfast commitment to growth, we succeed for the good of every generation. Stronger together: Combining our diverse talents, we accomplish more collectively than we ever could do alone. We speak openly, actively listen, and support each other, and constructively challenge and embrace new ideas. We seek empowerment and demonstrate ownership and trust, with the confidence to make impactful decisions. Core Benefits Holiday: 182 hours (26 days) Quilter Incentive Scheme: All employees are eligible to participate in incentive scheme, to incentivise business performance and their contribution. Pension Scheme: A non-contributory company pension scheme that can be boosted through personal contributions. Private Medical Insurance: Single cover as standard with options to increase cover to include your partner or children. Life Assurance: 4x your salary. Income Protection: 75% of salary, less state benefits, payable after 26 weeks of absence. Healthcare Cash Plan: Jersey employees only In addition to our core benefits, we offer a range of flexible benefits to UK employees that you can choose from and pay for conveniently via a salary deduction.

About the Role We’re seeking a Principal AI Engineer to lead the design and implementation of advanced AI solutions across our product and business ecosystem. This is a unique opportunity to define and deliver an organisation-wide AI strategy — combining hands-on technical work with cross-functional influence to drive real impact. You’ll work closely with senior technology and business leaders to shape how AI is embedded across products, operations, and internal processes. The role offers autonomy, scope, and visibility — ideal for someone who thrives at the intersection of deep technical expertise and strategic thinking. What You’ll Do • Design, build, and deploy AI-powered systems and features that enhance product functionality and user experience., • Develop and integrate agentic frameworks, RAG pipelines, and vector database architectures to support natural language and intelligent automation use cases., • Fine-tune and customise LLMs (e.g. OpenAI, Anthropic, and other models) for specific business applications., • Collaborate with engineering and data science teams to implement MLOps best practices — from deployment and monitoring to continuous iteration., • Partner with commercial and operational teams to identify and automate processes that can be enhanced through AI tools., • Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures. About You • Deep expertise in Python, machine learning, and data science., • Experience building, deploying, and scaling AI models in Azure and/or AWS environments., • Skilled in using LangChain, LangGraph, vector databases, and prompt engineering., • Understanding of LLM optimisation, including context extension and RAG-based frameworks., • Proven ability to collaborate cross-functionally and communicate complex AI concepts to non-technical teams., • A proactive, creative mindset — comfortable operating with autonomy to build scalable, production-grade AI systems. Preferred qualifications: • Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field., • Experience with Azure Foundry, AWS SageMaker, or other model-serving tools., • Prior exposure to SaaS, enterprise, or data-rich product environments. Why This Role • Play a central role in defining and executing an organisation-wide AI roadmap., • Work directly with senior leadership on strategy and implementation., • Shape the next generation of intelligent, data-driven products., • Hybrid working environment with flexibility for deep technical focus and collaboration., • Competitive compensation and the opportunity to build at scale in a high-growth environment. If you’re passionate about building intelligent systems that create measurable impact — this is your opportunity to lead from the front.

ERS Forensic, Analytics Manager (108689) KPMG overview KPMG in the UK is part of a global network of firms that offers Audit, Legal, Tax and Advisory services. Through the talent of over 16,000 colleagues we bring our creativity, insight and experience to solve our clients’ and communities’ biggest problems. We’ve been doing this for more than 150 years. We aim to be universally recognised as a place for great people to do their best work. A firm known for our collaborative and inclusive culture, using technology to empower and equip our people to deliver outstanding work with real flexibility – through inspiring workspaces, innovative ways to collaborate and hybrid ways of working. With offices across the UK, we work with everyone from small start-ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our mission is simple: To support the UK in a connected world. It guides everything we do, underpinned by our values: Courage, Integrity, Excellence, Together and For Better. Summary of role purpose Investigations and Compliance (I&C) is part of KPMG’s Forensic practice. We help clients with their biggest and most challenging misconduct and integrity matters. Our work helps clients respond to regulatory enquiries, reduce reputational risk and prevent or reduce commercial loss by helping them to investigate and mitigate risks including fraud and misconduct, bribery and corruption, financial crime and much more. As a result of an exciting and increasing pipeline of fraud analytics work, we are looking for a Manager to help coordinate the strategic direction of a team deploying analytics (including fraud analytics routines and GenAI capabilities) over large complex financial and other datasets, both structured and unstructured. Description of the role The role will involve leading a team deploying forensic analytics (including testing routines across structured data and LLM-enabled unstructured, structured and open-source data analysis) over large datasets to help our clients solve their most complex fraud, misconduct and integrity matters. This role requires a deep understanding of both structured and unstructured data analytics techniques, coupled with strong leadership and communication skills. The successful candidate will be responsible for developing and implementing innovative analytical solutions leveraging a wide range of techniques, including through the use of SQL, Python, cloud computing and Generative AI (GenAI). You should expect to work on a variety of project-based work over a cross section of forensic work types, industries and geographies. Day to day activities will vary depending on the type and circumstances of each project. As a Manager, you will be expected to: • Manage the day-to-day delivery of client engagements, or components thereof, with a focus on using data analytics tools, developing one off or continuous solutions, to analyse large and complex datasets, both structured and unstructured, • Liaise and work directly with the client, the client’s external counsel, senior members of the KPMG team and other third parties as required, • Draft written deliverables and/or presentations, suitable for review by KPMG Partners and Directors, and ultimately for presentation to our clients, • Oversee and train junior colleagues, • Participate in business development activities including marketing, knowledge sharing and practice development You will be based in KPMG’s CSQ office working under KPMG’s hybrid working model of both home and office working. You will need to display a flexible attitude to working and be prepared to travel/work at other locations within the UK and internationally. The Person Essential: • Has a track record of developing a strategy to deploy data analytics tools across large data sets to identify markers of potentially fraudulent activity, and successfully deploying that strategy in a complex and dynamic investigations environment, • Has proven expertise in SQL, Python, and other relevant programming languages to perform data curation, analysis and interrogation to return answers to the analytical questions posed, • Has experience in translating non-technical business requirements into analytical solutions, • Is a qualified accountant or understands double entry bookkeeping in the context of ERP systems, • Can demonstrate experience of building GenAI solutions, understands the capabilities and concepts of LLMs, such as AI agents, and has knowledge of prompt engineering techniques, • Works independently, resolving complex issues with little or no supervision or direction, • Has experience of managing a junior team to achieve the required objectives Skills we’d love to see/Amazing Extras: • Understands financial processes such as P2P, R2R, and O2C, and how to use relevant data markers from these processes to link datasets, develop ETL pipelines and identify transactions of potential concern, • Has an understanding of advanced data science techniques such as machine learning, natural language processing and statistical analysis., • Has experience of using data visualisation tools such as PowerBI, • Has experience with general ledger / ERP data as a prerequisite, with an experience of larger ERP systems such as SAP / Oracle a plus, • Has familiarity with Graph Analytics and tools/libraries such as Neo4j and NetworkX To discuss this or wider Consulting roles with our recruitment team, all you need to do is apply, create a profile, upload your CV and begin to make your mark with KPMG. Our Locations: We are open to talk to Forensic talent across the country but our core hubs for this role are: • Birmingham, • London Canary Wharf, • Manchester With 20 sites across the UK, we can potentially facilitate office work, working from home, flexible hours, and part-time options. If you have a need for flexibility, please register and discuss this with our team. Find out more: Within Consulting we have a range of divisions and specialisms. Click the links to find out more below:

Housekeeping Manager About Hyatt Regency London – The Churchill Hyatt Regency London – The Churchill is located in the prestigious Marylebone area of London’s West End, overlooking the gardens of Portman Square and just moments from Oxford Street and Hyde Park. Inspired by the legacy of Sir Winston Churchill, the hotel reflects a sense of British heritage and timeless style. The hotel features 440 elegant guestrooms including 50 suites, along with 11 versatile meeting and event spaces hosting a wide range of corporate events and social occasions. Dining experiences include seasonal British dishes and Afternoon Tea at The Montagu Kitchen and cocktails at the stylish Churchill Bar & Terrace. Colleagues work in a vibrant hospitality environment welcoming both international business travellers and leisure guests to one of London’s most sought after neighbourhoods. Duties and responsibilities related to the Housekeeping Manager role • Reporting to the Director of Rooms, the Housekeeping Manager plays a key role in leading the housekeeping operation and ensuring the highest standards of cleanliness, presentation, and guest care across the hotel., • This role oversees the daily running of the housekeeping department, supporting the team to deliver consistently excellent standards in guest rooms, public areas, and back of house spaces. Responsibilities include managing daily operations, allocating resources effectively, and ensuring rooms are prepared to meet business needs and guest expectations., • A key part of the role is leading, training, coaching, and motivating the housekeeping team, creating a positive working environment where colleagues feel supported, engaged, and empowered to perform at their best. The Housekeeping Manager ensures brand standards, cleaning procedures, health and safety requirements, and hygiene standards are consistently followed., • Regular inspections of guest rooms, public areas, and back of house areas will be carried out to identify opportunities for improvement and take prompt action where required. The role also involves monitoring guest feedback and working closely with the team to maintain and enhance guest satisfaction., • The Housekeeping Manager is responsible for managing stock levels for linen, amenities, and cleaning supplies, ensuring the department operates efficiently while maintaining appropriate controls. The role also supports departmental planning, productivity, rotas, and cost management in line with hotel requirements., • Close collaboration with Front Office, Engineering, and other hotel departments is essential to ensure a smooth guest journey, effective communication, and timely resolution of any operational issues. About you The ideal candidate will have previous housekeeping leadership experience within a luxury hotel environment, ideally within London or another major city market. They will understand the expectations of guests staying in a premium hotel and take pride in delivering exceptional standards of cleanliness, presentation, and service. They will be a confident and supportive people leader with experience in coaching, developing, and motivating a team. Strong attention to detail, excellent organisational skills, and the ability to manage a busy operation while remaining calm and professional are essential. The successful candidate will be comfortable working collaboratively with other departments and will bring a proactive approach to problem solving. Most importantly, they will care about creating memorable guest experiences and supporting colleagues to be their best. Benefits you will enjoy as a Housekeeping Manager • 12 complimentary nights a year across Hyatt Hotels worldwide, • Discounted hotel stays across Hyatt not just for you but also your family and friends from the day you start!, • Free meals on duty in our colleague restaurant, • Life Assurance, • Business attire laundered complimentary, • Headspace membership and access to our Employee Assistance Programme, • 50% discount on food and beverages when you dine as a guest at selected Hyatt Hotels, • Continuous learning and development opportunities to provide you with a clear career path as well as job promotion opportunities across Hyatt Hotels worldwide At Hyatt, our purpose is to care for people so they can be their best. Guided by our values of Empathy, Integrity, Respect, Inclusion, Experimentation and Wellbeing, we create an environment where colleagues feel supported and empowered to grow. With more than 1,450 hotels and all-inclusive resorts across over 80 countries, Hyatt offers opportunities to build your career within a global hospitality company featured in Fortune’s 100 Best Companies to Work For. At Hyatt, we open doors and turn jobs into careers. Here, individuality is celebrated, people are supported to thrive, and everyone is empowered to make a meaningful impact. Next Steps: Apply today for this Housekeeping Manager role and start your journey with Hyatt Hotels!

Housekeeping Manager About Hyatt Regency London – The Churchill Hyatt Regency London – The Churchill is located in the prestigious Marylebone area of London’s West End, overlooking the gardens of Portman Square and just moments from Oxford Street and Hyde Park. Inspired by the legacy of Sir Winston Churchill, the hotel reflects a sense of British heritage and timeless style. The hotel features 440 elegant guestrooms including 50 suites, along with 11 versatile meeting and event spaces hosting a wide range of corporate events and social occasions. Dining experiences include seasonal British dishes and Afternoon Tea at The Montagu Kitchen and cocktails at the stylish Churchill Bar & Terrace. Colleagues work in a vibrant hospitality environment welcoming both international business travellers and leisure guests to one of London’s most sought after neighbourhoods. Duties and responsibilities related to the Housekeeping Manager role • Reporting to the Director of Rooms, the Housekeeping Manager plays a key role in leading the housekeeping operation and ensuring the highest standards of cleanliness, presentation, and guest care across the hotel., • This role oversees the daily running of the housekeeping department, supporting the team to deliver consistently excellent standards in guest rooms, public areas, and back of house spaces. Responsibilities include managing daily operations, allocating resources effectively, and ensuring rooms are prepared to meet business needs and guest expectations., • A key part of the role is leading, training, coaching, and motivating the housekeeping team, creating a positive working environment where colleagues feel supported, engaged, and empowered to perform at their best. The Housekeeping Manager ensures brand standards, cleaning procedures, health and safety requirements, and hygiene standards are consistently followed., • Regular inspections of guest rooms, public areas, and back of house areas will be carried out to identify opportunities for improvement and take prompt action where required. The role also involves monitoring guest feedback and working closely with the team to maintain and enhance guest satisfaction., • The Housekeeping Manager is responsible for managing stock levels for linen, amenities, and cleaning supplies, ensuring the department operates efficiently while maintaining appropriate controls. The role also supports departmental planning, productivity, rotas, and cost management in line with hotel requirements., • Close collaboration with Front Office, Engineering, and other hotel departments is essential to ensure a smooth guest journey, effective communication, and timely resolution of any operational issues. About you The ideal candidate will have previous housekeeping leadership experience within a luxury hotel environment, ideally within London or another major city market. They will understand the expectations of guests staying in a premium hotel and take pride in delivering exceptional standards of cleanliness, presentation, and service. They will be a confident and supportive people leader with experience in coaching, developing, and motivating a team. Strong attention to detail, excellent organisational skills, and the ability to manage a busy operation while remaining calm and professional are essential. The successful candidate will be comfortable working collaboratively with other departments and will bring a proactive approach to problem solving. Most importantly, they will care about creating memorable guest experiences and supporting colleagues to be their best. Benefits you will enjoy as a Housekeeping Manager • 12 complimentary nights a year across Hyatt Hotels worldwide, • Discounted hotel stays across Hyatt not just for you but also your family and friends from the day you start!, • Free meals on duty in our colleague restaurant, • Life Assurance, • Business attire laundered complimentary, • Headspace membership and access to our Employee Assistance Programme, • 50% discount on food and beverages when you dine as a guest at selected Hyatt Hotels, • Continuous learning and development opportunities to provide you with a clear career path as well as job promotion opportunities across Hyatt Hotels worldwide At Hyatt, our purpose is to care for people so they can be their best. Guided by our values of Empathy, Integrity, Respect, Inclusion, Experimentation and Wellbeing, we create an environment where colleagues feel supported and empowered to grow. With more than 1,450 hotels and all-inclusive resorts across over 80 countries, Hyatt offers opportunities to build your career within a global hospitality company featured in Fortune’s 100 Best Companies to Work For. At Hyatt, we open doors and turn jobs into careers. Here, individuality is celebrated, people are supported to thrive, and everyone is empowered to make a meaningful impact. Next Steps: Apply today for this Housekeeping Manager role and start your journey with Hyatt Hotels!

Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire world-class software engineers to help build on their success. Responsibilities • Design agentic automation framework in Python on AWS Bedrock, • Decompose Jira workflows into microservices and LLM agents, • Own end-to-end delivery of automation solutions across the business, e.g. Operations, Compliance, Risk, • Build secure, high-performance integrations with core internal systems, • Develop prompt strategies, retrieval augmentation, and guard-rail policies for Bedrock models, • Measure and tune agent output quality, latency, and cost, • 8+ years' experience of professional software engineering (Python preferred) with at least 3 years' designing distributed, event-driven systems in AWS, • Proven production experience integrating or fine-tuning LLM/GenAI solutions (OpenAI, Bedrock, or similar), • Deep knowledge of Jira data model, webhooks, and REST/GraphQL APIs, • Strong grasp of security for SaaS integrations: OAuth, secret rotation, data-in-transit/at-rest encryption, • Familiarity with financial or regulated environments and related control frameworks, e.g. SOC 2, model governance, • Prior work on KYC / AML automation, sanctions screening, or client onboarding flows, • Experience with event sourcing, domain-driven design, or service-based architecture, • Familiarity with LangChain, Haystack, or other agent frameworks; Infrastructure-as-Code (CDK / Terraform) and/or container orchestration with Kubernetes Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If you feel you are suitable for this role, drop me an email or give me a call! Jack Peck [e] [t] +44 20 3745 6537 linkedin.com/in/jack-peck-448a70131

Forward Deployed AI Engineer | AI Consultancy 📍 London (Hybrid) 💰 Salary £120,000-£150,000 💷 £700-£900 per day 🏢 Permanent or Contract Role Overview We’re looking for a Forward Deployed AI Engineer to join a fast-growing AI consultancy working with leading organisations in areas such as capital markets and investment management. You will work directly with clients to design, build, and deliver production-grade AI systems, embedding into complex environments to solve real operational and data challenges. This role blends software engineering, AI system design, and client delivery, with a strong focus on scalable, production-ready solutions. What you’ll be doing • Build and evolve AI-driven origination and workflow platforms, including deal intake, pipeline management, relationship intelligence, approvals, and execution processes, • Design and implement microservices and APIs that integrate data across enterprise systems such as CRMs, internal platforms, and external data providers, • Translate complex financial and operational logic — including pipeline structures, attribution models, allocations, and reporting frameworks — into scalable technical systems, • Architect and optimise data models and database layers, including schema design, indexing strategies, query tuning, and stored procedures, • Develop and maintain CI/CD pipelines and engineering tooling to support reliable, frequent, and high-quality deployments, • Implement event-driven architectures using Kafka, enabling real-time data processing, system decoupling, and auditability, • Ensure high performance, reliability, and scalability across distributed systems, including observability, monitoring, and production readiness, • Partner with product, operations, and investment stakeholders to refine requirements and deliver iterative solutions in Agile environments Core requirements • 8+ years of hands-on software engineering experience across Python and object-oriented languages (Java or C++), • Strong background delivering production-grade full-stack or backend systems, • Deep understanding of cloud architecture (AWS, Azure, or GCP) with a focus on scalable and secure systems, • Strong proficiency in Python and SQL, plus experience with either Java or .NET, • Solid DevOps experience including Git, CI/CD pipelines, and containerisation (Docker, Jenkins or equivalent tools), • Proven experience designing and building microservices-based architectures in distributed systems, • Advanced knowledge of database systems, including schema design, performance tuning, and query optimisation, • Experience working with event-driven architectures and messaging systems such as Kafka, • Familiarity with both NoSQL and NewSQL databases, including trade-offs and use cases, • Ability to take ambiguous business requirements and turn them into clear technical designs and working systems AI Engineering capability (essential) All engineers in this team are expected to meaningfully apply AI in production systems, including: • Building and deploying LLM-based applications in production environments, • Designing agentic workflows and multi-step AI systems, • Implementing RAG (Retrieval-Augmented Generation) pipelines, • Working with OpenAI or Anthropic APIs, • Using vector databases and embedding-based search systems, • Applying prompt engineering techniques effectively, • Building AI evaluation, monitoring, and observability frameworks, • Understanding ML fundamentals where relevant (embeddings, fine-tuning, context engineering) Additional note The business is also interested in speaking with UK-based engineers for internal platform and AI product engineering roles. If you are more interested in building internal systems rather than client-facing delivery, you are still encouraged to apply.

IN HOUSE COMMERCIAL AND CONSTRUCTION LAWYER – ENERGY & POWER LONDON HYBRID WORKING – 3 DAYS PER WEEK IN OFFICE; 2 DAYS FROM HOME PERMANENT ROLE Role Overview: Morgan Philips Specialist Recruitment are presently representing a fast growing, UK based owner, operator and developer of energy assets in their search for an In House Lawyer. The successful candidate will be responsible for advising on project development, construction, commercial, procurement and operational matters for energy & infrastructure projects. Our client’s legal team legal team works closely with the commercial, technical and finance teams to provide high quality, business focused advice and support. Their in house lawyers play an active part in key commercial decision making and risk management. This role will focus on supporting the legal team in all activities related to the development and commercial management of power projects. This will involve working closely with the project development, engineering and procurement teams and external stakeholders. Key Accountabilities: • Advising project and execution teams on legal and commercial issues and risks arising through the whole lifecycle of renewable and conventional energy projects;, • Advising, independently and in conjunction with senior lawyers and/or external counsel, on a range of contracts with local and international counterparties related to the construction, project development and commercial operation of our assets;, • Drafting and negotiating standard form and bespoke contracts for the procurement of assets and services;, • Advising on the acquisition of renewable and conventional energy assets, businesses, and development opportunities;, • Working closely with and advising the commercial and financial specialists within the team in negotiations and assisting prompt decision-making among key stakeholders;, • Assessing project risks and risk management strategies and presenting these to directors and senior team members;, • Providing proactive legal support to commercial and operations teams on projects that are in-contract and completed and assist monitoring of on-going performance to enable the business to anticipate issues and manage risks that may arise;, • Ensuring that projects and transactions comply with all relevant corporate and regulatory requirements;, • Reviewing or performing legal due diligence where required;, • Ensuring ongoing compliance with responsibilities under law and regulation;, • Instructing, liaising with, and working alongside external legal counsel where required, including managing such external legal counsel to ensure that costs are minimised and delivered on budget; and About You: • UK qualified Solicitor with 3-6 years post qualification experience either in private practice or In House, • Previous experience within the energy or infrastructure sectors, • Experience drafting and negotiating key commercial, construction and/or procurement contracts, • Experience of advising on and managing disputes within the infrastructure or energy sectors would be desirable although not essential.

Intercontinental Exchange ( NYSE:ICE ) is a Fortune 500 company operating a leading network of global futures, equity, and equity options exchanges, alongside world-class clearing and data services spanning financial and commodity markets. We place the needs of our customers and global market participants at the forefront of everything we do. As a high-growth organisation, we pioneered transparency and risk management in global derivatives markets. Our team comprises engineers, strategists, and problem-solvers who continuously innovate technology solutions to address complex market structure challenges. About the Role The ICE Data Derivatives business provides market data, valuation, and analytics services across all OTC (over the counter) derivative asset classes to a global customer base. We are seeking an exceptional Financial Engineer to join our Pricing and Analytics tea m, a group dedicated to researching, implementing, and supporting enterprise-grade pricing and risk systems. This role requires a unique combination of quantitative finance expertise and cutting-edge AI capabilities, with particular emphasis on Deep Neural Networks and Large Language Models (LLM) applied to derivatives markets. Key Responsibilities • AI-Powered (artificial intelligence) Market Access: Design and deploy AI-driven conversational agents that enable clients to interact with derivatives market data and analytics through natural language interfaces, democratizing access to complex financial information., • Neural Network Pricing Models: Research and implement Deep Neural Network-based approximations for exotic derivatives pricing models across Interest Rate, Equity, FX (forex), and Commodity asset classes, delivering order-of-magnitude improvements in computational performance for large, complex portfolios., • Next-Generation Risk Analytics: Leverage advanced AI techniques to enhance risk management capabilities, including significant acceleration of Value-at-Risk ( VaR ) and XVA computations., • Research & Documentation: Produce rigorous analysis and comprehensive documentation of AI methodologies, model architectures , and research findings to support transparency and knowledge transfer across the organization., • Large-Scale Data Analysis: Extract insights from complex, high-volume datasets to inform model development and business strategy., • Model Interpretation & Guidance: Provide clear explanations of AI model behavior, conduct scenario analysis, and deliver actionable analytics to stakeholders across the business. Knowledge and Experience * Expert professional experience in Machine Learning and quantitative finance . * Demonstrated proficiency in modern AI development workflows, including fluency with tools such as Claude Code and GitHub Copilot. * Proven ability to leverage Large Language Models for productivity enhancement across documentation, architecture design, and project development . * Expert programming skills in C++. * AI Agent Development: Demonstrated experience designing and deploying production-grade AI. agents utilizing Large Language Models, including prompt engineering, tool integration, and orchestration frameworks for autonomous decision-making systems. * Deep Learning Architecture : Strong theoretical and practical knowledge of Deep Neural Network architectures, including feedforward networks, recurrent models, transformers, and their application to time-series forecasting and function approximation in financial contexts. * Solid understanding of financial markets, derivatives pricing - risk modeling principles valued. Core Competencies * Hard worker and team player, highly self-motiv at ed in learning and applying new techniques . * Ability to solve real world business problems using AI and quantitative techniques . * Strong oral communication and documentation skills . Education * Advanced degree (MSc OR PhD) in Mathematics, Physics, Quantitative Finance, Machine Learning , or any other related quantitative discipline/ equivalent.

The Group Investment Management (GIM) Team is hiring for a Senior Manager - Data Scientist to work in the Tooling and Data Team. Your ability to interpret and use data science and analytics to deliver your work and support the team is essential. You will be able to use pro-actively measure and predict programme execution risk, using machine learning and AI to develop early warning risk indicators helping steer senior leadership attention to the parts of the portfolio where delivery of planned benefits and outcomes is at risk. Your ability to present a suite of dashboards and metrics to provide senior management with tools for prioritisation and analysis will be key. The predictive risk metrics you will develop will allow timely management intervention, avoiding costly last minute write off and help foster a delivery discipline and delivery transparency culture. You will play a pivotal role in transforming complex programme data into predictive insights that drive strategic investment decisions. You will take the lead on developing machine learning models and early warning indicators to proactively identify delivery risks across a multi-million-pound change portfolio. This is a unique opportunity to apply your data expertise in a high-impact, enterprise-level environment that values innovation, transparency, and delivery excellence. Key Responsibilities • Lead the design and implement machine learning models to predict programme delivery risks and financial overruns., • Help integrate the insight generated into dashboards and visualisations (eg Power BI) to communicate insights to senior leadership, in collaboration with existing MI teams. Provide leadership to ensure that risk metrics and insights are actionable and trackable., • Collaborate with senior stakeholders across the business to understand data needs and translate them into technical solutions., • Conduct data cleaning, preprocessing, and integration from multiple sources (internal databases, APIs)., • Contribute to the development of the Group-wide delivery framework and assurance standards., • Stay current with advancements in AI/ML and apply them to improve risk prediction and decision-making., • Support the annual investment planning process with data-driven analysis and scenario Required Experience & Qualifications • Proficiency with Python or R, with experience in libraries such as scikit-learn, TensorFlow, or similar., • Experience of LLM prompt engineering for systematic feature extraction from unstructured data., • Strong SQL and data wrangling skills; experience with ETL processes., • Solid understanding of statistical analysis and hypothesis testing., • Experience building and deploying machine learning models in a business context, • Ability to communicate technical insights to non-technical audiences through visualisation tools (e.g., Tableau, matplotlib)., • Familiarity with fine tuning small LLM models to automate small topic extraction tasks from unstructured data., • Familiarity with cloud platforms (e.g., AWS), especially AWS Bedrock and Snowflake data platform., • Experience with enterprise programme management / PPM tools such as Clarity, Planview, Asana, and JIRA., • Knowledge of SAP ERP and Workday systems data., • Experience in financial services or programme delivery environments., • Strong communication and collaboration skills., • Self-starter with the ability to manage multiple priorities in a fast-paced environment. London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject . If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Role Profile As part of the LSEG AI , we are hiring a Senior Product Manager - AI Observability to own the strategy, design and rollout of telemetry systems that m onitor , m easure and a nalyse how AI models, MCPs, and AI-enabled features behave across all LSEG products. This role is responsible for defining how we collect, structure, analyse and act on AI-specific telemetry signals-including prompt patterns, model performance, MCP call usage, latency, error conditions, cost metrics, user behaviour signals, and system reliability. You will develop a telemetry foundation that supports: • AI governance & risk, • model performance tracking, • cost efficiency, • user experience optimisation, • operational reliability, • auditability, • and the long-term evolution of our AI platform. Key Responsibilities & Accountabilities Telemetry & Observability Strategy • Define the end-to-end telemetry vision and roadmap for LLMs, MCPs, vector stores, embeddings, inference layers and AI-powered user experiences., • Establish a standardised telemetry schema for capturing prompts, tool calls, model responses, durations, errors, confidence signals, and quality indicators across business lines., • Partner with platform engineering to ensure instrumentation is consistent, scalable and compliant. Signal Design & Data Architecture, • Identify key signals required for:, • Quality & reliability, • Latency & throughput, • Cost tracking & optimisation, • MCP usage patterns, • User workflow insights, • Failure pattern detection, • Guardrail and safety event monitoring, • Define retention rules, PII considerations, anonymisation and usage policies in partnership with AI Governance and Compliance. Platform & Tooling, • Own requirements for dashboards, monitoring tools, model comparison views, anomaly detection alerts, and performance scorecards., • Design systems that allow product and engineering teams to self-serve insights about AI model behavior and MCP interactions., • Partner with engineering to build pipelines that support real-time and batch analytics . Cross-Functional Collaboration, • Collaborate with product owners across LSEG to instrument their AI features consistently., • Partner with AI Evaluation PM ( previous role), Model Risk, GSSR, Legal and Compliance to align telemetry with governance frameworks., • Work closely with Engineering and SRE teams to drive observability improvements and reliability engineering for AI systems. Optimisation & Insights, • Identify cost inefficiencies across model and MCP usage, and drive recommendations to improve ROI., • Surface workflow-level insights on how customers use AI features-informing product roadmaps., • Partner with product leaders across divisions to understand how telemetry can improve customer experience, reliability and performance. Governance & Standards, • Define and maintain AI telemetry standards and best practices across all LSEG divisions., • Contribute to LSEG's AI governance and Responsible AI initiatives by providing data-driven insights on model behavior and user impact., • Ensure telemetry systems support auditability, compliance and explainability requirements. Skills & Competencies Required • Experience in product management with a strong foundation in observability, telemetry, data platforms, monitoring, or SRE / DevOps-driven products ., • Understanding of LLMs, embeddings, vector search, MCP tools , and AI inference workflows., • Deep familiarity with logging, tracing, metrics , and event-based telemetry systems., • Ability to define data schemas, signal taxonomies, aggregation strategies and data contracts., • Strong analytical skills and ability to derive insights from large-scale system telemetry., • Experience working with senior engineering, data science, risk and governance stakeholders. Preferred, • Exposure to financial data, analytics systems and enterprise-scale data workflows., • Familiarity with BI tools, metrics stores, distributed tracing and monitoring stacks., • Understanding of cloud infrastructure, serverless runtimes, API gateways and model hosting architectures., • Ability to drive cross-functional alignment and establish group-wide standards. Measures of Success Platform Reliability & Performance • Reduction in AI system error rates, latency spikes and operational incidents., • Stability and transparency of MCP usage across product lines., • Quality and coverage of telemetry signals across all AI-enabled products. Insight Generation & Adoption, • Adoption of telemetry dashboards and self-service tools across divisions., • Number of identified and resolved model or MCP reliability issues driven by telemetry., • Level of insight generated to influence product prioritisation and AI model choices. Operational Efficiency & Cost, • Improved cost transparency and cost-saving impact via telemetry-driven optimisation ., • Reduction in unnecessary model invocation or inefficient tool usage. Governance & Compliance, • Contribution to Responsible AI frameworks through robust, auditable telemetry. London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject . If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Job Role: Mechanical Supervisor\n\nSalary: 45K - 50K per annum\n\nOur Client is the UK’s largest independent engineering and services business. Its Facilities Services division provides mechanical, electrical, and integrated building maintenance. The company offers a national footprint with strong regional presence to ensure commercial spaces, public infrastructure, and retail sites operate efficiently, safely, and sustainably.\n\nBasic Duties:\n\n * Adherence to set engineering standards in accordance with Health and Safety at Work Act (HASAWA) requirements, ensuring that the engineering team also comply.\n\n * To ensure onsite Quality Assurance procedures are adhered to in all respects and to maintain accurate records/documentation associated with the mechanical/HVAC aspects of the plant.\n\n * Have a good understanding of BMS and Control Systems associated with Mechanical Plant and Equipment to assist fault diagnosis and correct set up.\n\n * Supervise the team in all aspects of work, undertaking people management activities such as Safety Briefings, absence reporting, performance reviews, annual leave and timesheet approvals. Plan and arrange staff training to support their development.\n\n * Ensure that you and the team undertake repairs to HVAC Plant and Associated Systems to a high standard.\n\n * Ensure that you and the team undertake installation, alteration and repairs to pipework systems as needed to a high standard and in good time to minimise impact of downtime.\n\n * Have the ability to undertake repairs to pumps within the workshop, including replacement of Mechanical Seals and other common causes of pump failure.\n\n * To support and guide your team with on the job training and development through your own experience and competence\n\n * To respond in a prompt and effective manner to any Helpdesk related reactive maintenance issues, associated with the heating and ventilation systems, pumps, water tanks, valves, pipework and associated mechanical systems or as directed, ensuring that your team do similar.\n\n * Assist other trades as required.\n\n * Carry out tasks assigned by your manager.\n\n * Ensure that all necessary systems and portals are utilised to capture work output including use of the CAFM system, Smartsheets and subcontractor record portals.\n\n * Ensure effective supply chain management through regular reviews and interaction, particularly in the planning of quoted/project works.\n\n * Manager spares effectively and order required parts to complete tasks on time.\n\n * Send detailed shift report to the management\n\n * Support Event Day delivery.\n\nQualifications:\n\n * NVQ / City & Guilds Level 3 - Plumbing, Refrigeration and Air Conditioning 6187 or similar\n\n * City & Guilds 2079 F Gas Regulations (Desirable)\n\n * 10+ years experience in a similar field\n\n * Experienced in the electrical and mechanical aspects of general building service, repair and installation\n\n * Exceptional knowledge and experience working with and repairing Mechanical Systems and Heating and Ventilation Systems\n\n * Knowledge of electrical principles including safe isolation, controls and basic fault finding\n\n * Use of Trend BMS\n\n * Authorised Person – Mechanical (Desirable)\n\nWorking Hours: 8.00am - 5.00pm with one hour lunch break. Flexibility required to do overtime to cover events and emergency breakdown

Customer Success Engineer Company: Abacus.AI Location: Remote / (US EST Timezone) Type: Full-time About Abacus.AI: Abacus.AI is an enterprise AI platform that transforms how businesses build and deploy AI systems. Our platform automates AI development through advanced generative AI technology, eliminating the need for extensive technical expertise. Our core offerings include ChatLLM Teams with access to leading AI models, DeepAgent for autonomous task execution, and customizable AI agents for chatbots, workflows, and enterprise automation. We also contribute to the AI community through LiveBench.ai benchmarking and open-source projects like Dracarys and Smaug. We make sophisticated AI and machine learning capabilities accessible to organizations regardless of size or technical resources. Role Overview: We’re looking for a Senior Customer Success Engineer (5+ years experience) to serve as the primary technical advocate and strategic partner for our enterprise customers. In this role, you will be responsible for the long-term health of the account, ensuring that our AI solutions are successfully integrated into the customer’s daily workflows and continue to deliver high-level business value. Key Responsibilities: • Lead Executive & Technical QBRs: Drive Quarterly Business Reviews to showcase ROI, review usage metrics, and align our product roadmap with the customer’s evolving business goals., • Drive Super Assistant Rollout: Act as the strategic lead for deploying our Super Assistant across customer teams, providing hands-on guidance on best practices, user enablement, and change management to ensure broad adoption., • Proactive Health & Issue Monitoring: Continuously monitor account health to identify ongoing technical friction or blockers; collaborate with our internal Data Science and Support teams to resolve issues before they impact the customer experience., • Technical Bridge & Orchestration: Serve as the high-level technical point of contact who translates customer needs into actionable tasks for our DS team, ensuring that the actual technical execution remains aligned with the customer's strategic vision., • Expansion Discovery: Partner with the Sales team to identify new use cases for our AI capabilities, helping customers expand their footprint and see deeper value from the Abacus platform. Required Qualifications: • Strategic Technical Communication: Exceptional ability to bridge the gap between technical and non-technical stakeholders; you can explain LLM performance or RAG architecture to an executive just as easily as you can discuss API integration with a developer., • Generative AI & LLM Literacy: Solid understanding of the GenAI landscape, including Hands-on experience with Prompt Engineering, RAG (Retrieval-Augmented Generation) architectures, and the nuances of deploying LLMs in a corporate environment., • Functional Machine Learning Knowledge: A strong conceptual grasp of the ML lifecycle from data prep, model training, and evaluation metrics allowing you to collaborate effectively with internal Data Science teams and guide customers through technical deployment., • Program & Rollout Management: Proven track record of managing technical software rollouts (like an AI "Super Assistant") within large organizations, focusing on user adoption, monitoring ongoing health, and steering account progress through QBRs. What We Offer: • Competitive salary and equity package, • Opportunity to work with cutting-edge AI technology, • Collaborative and innovative work environment, • Professional development and learning opportunities

Founding Engineer | London | Up To £140,000 + Equity We’re working with a well-backed early-stage AI company building enterprise-grade generative AI systems for complex, high-value workflows. The team is small, technical, and moving fast - they’re now looking for a Founding AI Engineer to help shape both the product and engineering culture from the ground up. This is not a “maintain legacy systems” type role. You’ll be joining at the stage where architecture decisions still matter, product direction changes weekly, and exceptional engineers can have outsized impact. The focus of the role is GenAI systems engineering - designing, evaluating, and deploying LLM-powered products that operate reliably in production environments. What you’ll be doing • Building and improving LLM orchestration pipelines, • Designing prompt systems, evaluation frameworks, and feedback loops, • Working across retrieval, context management, agent workflows, and inference optimisation, • Deploying AI products into production with a strong focus on reliability and observability, • Collaborating closely with founders, product, and end users to rapidly iterate on features, • Helping establish engineering best practices, tooling, and technical direction early on What they’re looking for • Strong software engineering fundamentals, • Hands-on experience building with LLMs and modern AI tooling, • Experience shipping real products, not just prototypes, • Someone comfortable owning problems end-to-end rather than waiting for detailed specs, • Engineers already using AI-native development workflows., • Ability to move quickly without sacrificing engineering quality Experience across AI engineering, backend systems, data infrastructure, or scalable SaaS platforms is all relevant. The environment This suits someone who genuinely enjoys early-stage engineering. The pace is high, expectations are high, and there’s a strong bias toward ownership and execution. In return, you’ll get real influence over product, architecture, and technical culture from day one. Package • Up to £140k, • Meaningful equity, • Founding-level ownership and autonomy, • London-based, in-office collaboration If you’re interested in building production-grade GenAI systems in a genuinely high-calibre start-up environment, happy to discuss further.

Subcontract / Self‑Employed Electrician (Part‑Time, Ongoing Projects) Location: Market Harborough + up to 1‑hour travel radius Engagement: Subcontract / Self‑Employed Flexible commitment: 1–2 days per week (project‑based) Some evening and weekend work required depending on customer operations The Opportunity An established and growing Mechanical & Electrical Engineering business is expanding its subcontractor network due to a strong pipeline of ongoing work across domestic and commercial projects, including EV charging, solar PV, and battery storage. We’re looking to build a long‑term relationship with a reliable, professional electrician who takes pride in their workmanship and represents clients to a high standard. This role is ideal for a self‑employed or subcontract electrician seeking consistent, well‑paid work without the burden of client acquisition. Scope of Work You’ll support a range of projects including: • Domestic & commercial electrical installation, maintenance, and repairs, • Inspection, testing, and certification (BS7671 compliant), • EV charger installations and maintenance, • Solar PV and battery storage installations (advantageous), • Fault‑finding and troubleshooting, • Ensuring safe, compliant, and high‑quality work at all times Requirements Essential: • Level 3 Diploma in Electrical Installation, • 2391‑52 (or equivalent) – Inspection & Testing, • Strong working knowledge of BS7671, • Proven experience across domestic and commercial work, • Ability to work independently on site, • Full UK driving license, • 3+ years’ experience within electrical / electrical manufacturing / electronics environments, • Comfortable working in an onsite setting Desirable: • EV charger installation experience, • Solar PV / battery storage exposure, • AM2 qualification, • NICEIC or NAPIT registration What’s On Offer: • Reliable, repeat work as projects grow, • Flexible scheduling around your existing commitments, • Prompt, straightforward payment, • Clear communication and organized projects, • Professional, long‑term subcontract relationship

AI Engineer / Workflow Automation Specialist Salary Up to £55,000-£60,000 DOE Location Fully Remote (UK-based) Type Full-time, Permanent About TRAKD TRAKD has partnered with a forward-thinking performance marketing agency pushing the boundaries of what's possible in the AI space. We've built out our own internal 'agency brain,' a self-hosted AI system running on Mac Minis via OpenClaw, pulling together data from across the entire business: Notion playbooks, Xero invoicing, Fireflies call recordings, Slack communications, and more. They're not just an agency that talks about AI; we're actively building the infrastructure to make every team member smarter, faster, and more effective. This hire is central to that mission. The Role We're looking for an AI Engineer to own, maintain, and expand our agency brain. This is a rare opportunity to work directly with our founder on genuinely cutting-edge internal tooling that most agencies haven't even started thinking about, especially in the UK. You'll be responsible for keeping existing AI workflows running reliably, building new agents and automations as ideas emerge from the team, and proactively bringing forward ideas that improve how we operate. Key Responsibilities Agency Brain Development & Maintenance • Own the upkeep and reliability of our OpenClaw-based agency brain, • Ensure integrations with Notion, Xero, Fireflies, Slack, and other platforms remain stable, • Diagnose and fix workflow breakages before they impact the team, • Continuously improve data ingestion, retrieval, and output quality AI Workflow & Agent Building • Design and build new AI-driven workflows based on internal briefs from leadership and ops, • Build agents for use cases such as: client sentiment analysis, churn detection, revenue opportunity spotting, and creative strategy generation, • Develop automated research-to-output pipelines — e.g. pulling TikTok/Instagram creative data and generating full brand strategy documents for strategists, • Explore and implement end-to-end creative workflows (e.g. pulling performance data → analysing → generating ad variations via AI video tools) LLM & Tooling Expertise • Stay at the forefront of developments across LLMs (Claude, OpenAI, Gemini, etc.) and agentic frameworks, • Identify cost-efficient ways to run workflows without burning unnecessary tokens or credits, • Evaluate and integrate new tools and MCP-connected services as they emerge About You Must-Haves • Hands-on experience building AI workflows and automations (n8n, Make, LangChain, or similar), • Deep familiarity with LLM APIs and prompt engineering, • Understanding of agentic AI systems, RAG pipelines, and vector databases, • Experience integrating third-party APIs (Slack, Notion, Xero, or similar), • Proactive, self-starting attitude you bring ideas, not just completed tickets Nice to Haves • Experience with OpenClaw or similar self-hosted agent runtimes, • Familiarity with sentiment analysis and NLP-based workflows, • Background in or exposure to performance marketing or creative agencies, • Experience with web scraping and social media data pipelines, • Knowledge of cost optimisation strategies for LLM usage at scale The Person Years of experience matter less than mindset. We're a team that subscribes to a 1% better every day philosophy; they want someone who shares it. You'll thrive here if you: • Keep your finger on the pulse of the AI world and get genuinely excited by new developments, • Spot opportunities to automate or improve things without being asked, • Communicate clearly and want to be part of a team, not just a coder in the corner, • Are comfortable working remotely but want to show up for team socials and culture What's On Offer • Salary up to £55,000-£60,000 depending on experience, • Fully remote working with flexibility, • Direct access to and collaboration with the founder, • The chance to build genuinely novel AI infrastructure this is not a maintenance role, it's a build role, • A fast-moving, ambitious team culture with regular socials, • Real scope for growth as the AI function expands

Position Overview: SBS is seeking a skilled AI Engineer to join its Data & AI / Engineering organization in the UK or EU. This role will focus on designing, building, and deploying AI-driven solutions that enhance SBS products and client offerings. The ideal candidate will combine strong software engineering fundamentals with applied AI/ML expertise, enabling the development of scalable, production-grade AI systems in a regulated financial services environment. Location: UK or EU Hybrid/Remote: Remote (Occasional travel required) Responsibilities: AI Solution Development • Design, build, and deploy AI/ML models and intelligent applications across SBS platforms, • Develop solutions leveraging:, • Machine Learning (ML), • Natural Language Processing (NLP), • Generative AI (GenAI / LLMs), • Translate business requirements into technical AI solutions that deliver measurable impact Model Deployment & MLOps • Implement and manage end-to-end ML pipelines, from data ingestion to model deployment and monitoring, • Collaborate with DevOps and engineering teams to ensure scalable, reliable production deployment, • Maintain and optimize model performance, accuracy, and efficiency over time Product Integration • Integrate AI capabilities into core banking, payments, and digital platforms, • Work closely with Product Managers, Architects, and Developers to embed AI into customer-facing solutions, • Support API development and microservices architecture for AI-driven features Data Engineering Collaboration • Partner with data engineers to ensure data quality, availability, and pipeline integrity, • Work with structured and unstructured datasets across large-scale, distributed systems Innovation & Continuous Improvement • Stay current with advancements in AI, GenAI, and emerging technologies, • Contribute to experimentation, prototyping, and innovation initiatives, • Identify opportunities to improve automation, efficiency, and decision-making through AI Qualifications: Software Architecture & Design • Application architecture: Strong grasp of clean/hexagonal architecture, dependency injection, SOLID principles, and protocol-based interfaces. Can design well-structured Python services with clear separation of concerns, testable components, and maintainable codebases. This is not optional — the existing system follows these patterns, and new code must be consistent., • API design: Experience designing and maintaining RESTful API contracts. Understands OpenAPI specifications, versioning strategies, schema evolution, and backward compatibility. Can own the API surface that internal consumers depend on., • System design: Distributed systems thinking — understands event-driven patterns, asynchronous communication, eventual consistency, and the trade-offs of different integration approaches. Can reason about how components interact across service boundaries., • Data modeling: Can design domain models, define data flows between system components, and make pragmatic schema design decisions. Understands how data structures affect downstream consumers and the system's evolution. AI & LLM Application Skills • LLM application development: Hands-on experience building production applications powered by LLMs. Must go beyond API calls — RAG pipelines, chain-of-thought reasoning, structured output parsing, multi-step workflows. Candidates who have only fine-tuned models or only called a single provider’s API do not qualify., • Model-agnostic design: This is a sovereign AI system. The candidate must design against standardized API interfaces (OpenAI-compatible, LiteLLM, or equivalent abstraction layers), not couple to any single provider. Must understand model routing, fallback strategies, and how to build systems that can swap underlying models without application-layer rewrites. Experience limited to a single commercial API (OpenAI, Google, Anthropic) without abstraction is insufficient., • Agentic system design: Demonstrated experience designing multi-step AI systems where the model makes decisions about what to do next. This could be via LangGraph, CrewAI, AutoGen, custom agent loops, or any framework — the underlying patterns (ReAct, plan-and-execute, reflection) matter more than the tool., • Prompt engineering depth: Can demonstrate iterative prompt development for complex tasks. Understands few-shot, chain-of-thought, XML/structured prompting, and the behavioral differences between model families and sizes. Critically, understands that prompt strategies must adapt when moving between frontier and smaller OSS models. Python Engineering Production Python: Strong async Python with FastAPI or equivalent framework. Comfortable with Pydantic for data validation, SQLAlchemy for data access, and structured logging (structlog). Writes clean, testable, well-documented code with proper type hints. This is a software engineering role that builds AI systems — not a data science role that happens to write Python. Safeguards for hallucinated tools, loops, partial completion, and unsafe actions. Understands async trade-offs, batching, streaming, and latency accumulation Engineering Qualities • Works within existing systems: The candidate joins a substantial existing codebase and architecture. They must be comfortable reading, understanding, and extending code they did not write — not lobbying to rewrite it., • Production mindset: Thinks about error handling, retry logic, graceful degradation, observability, and security as first-class concerns. Understands that agentic autonomy creates new failure modes that must be anticipated., • Clear communicator: Can explain technical trade-offs to non-technical stakeholders. Can write clear design documents. Can articulate why an agentic approach is or is not appropriate for a given problem. Company Overview At SBS, we’re more than just a technology company; we’re a global fintech partner helping banks and financial institutions transform, innovate, and grow. With over 5,000 employees worldwide and clients in more than 80 countries, our solutions power everything from digital banking and lending to payments and core banking systems. As part of 74Software, we’re backed by a group of leading software companies delivering mission-critical solutions worldwide. Our focus is on delivering long-term value, leveraging cutting-edge technology, and fostering strong client partnerships. Join us and be part of a collaborative, forward-thinking team shaping the future of finance. Why SBS? At SBS, we’re committed to supporting our employees in every aspect of their lives, from health and wellbeing to financial security and lifestyle perks. We offer benefits that help you thrive at work and beyond, including health coverage, retirement plans, paid time off, flexible work options, career development, competitive pay, and global culture perks. Equal Opportunity Employer We are committed to providing equal opportunities and ensuring a fair and inclusive recruitment process. We do not discriminate on the basis of age, disability, gender, sexual orientation, race, religion, or any other protected characteristic.

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The role We're looking for a Lead Software Engineer to be the most senior technical voice in one of our product squads, working as a technical co-leader alongside the Engineering Manager. You'll own the squad's technical direction and engineering quality end to end, from architectural decision making and hands-on delivery, to mentoring engineers and shaping how we build across the organisation. This role demands genuine depth in AI. You'll be leading LLM powered feature development and setting the standard for how AI tooling amplifies the whole engineering process, combined with the full-stack and cloud-native chops to back it up. What you'll be doing • Setting technical direction for your squad. Owning architectural decisions, managing technical risk, and representing the engineering perspective at our Architecture Review Board, • Driving adoption of AI coding tools across the full SDLC, from planning and design through code review, testing, deployment and setting the bar for how the squad works, • Delivering production grade code across the full stack: Node.js or Python backends, event-driven AWS architecture, and React where the squad needs it, • Mentoring and growing engineers across AI and full-stack domains, through code reviews, design documents, and day-to-day pairing, • Collaborating with platform teams to consume shared capabilities and contribute reusable patterns back, not building one-off solutions when a platform component will do, • Ensuring everything we ship is compliant-by-design, auditable, and built to the standards expected of software in FCA regulated financial services What we're looking for • A seasoned engineer with 10+ years of experience, including meaningful time building and operating AI/ML systems in production, • Real technical leadership. You've set direction, made architectural calls, mentored others, and influenced how a team builds, not just what it ships, • Strong hands-on AI/LLM skills: prompt engineering, RAG, model evaluation and agent frameworks. You know how these work in production, not just in demos, • Deep expertise in Node.js, with solid experience in the other; comfortable switching contexts depending on what the problem needs, • Cloud-native development on AWS. Serverless, event-driven, Lambda, with an instinct for well designed, maintainable systems, • A genuine curiosity about where AI is going and the judgment to separate signal from noise when recommending what to adopt, • An instinct for building responsibly. You care about auditability, compliance, and the downstream impact of what you ship Why Aveni • You'll work at the frontier of applied AI in a domain where it actually matters, helping financial services firms serve their clients better and meet growing regulatory obligations, • AI-native engineering culture: we use AI tools seriously, across the full development process, and we're always looking to push further, • High impact from day one. As a Staff Engineer, your technical decisions will shape the product, the platform, and the engineers around you, • A talented, collaborative team building something genuinely novel, with the backing, the architecture, and the proprietary models to do it properly Benefits at Aveni What you’ll love • Remote-first working across the UK., • Work abroad policy for when you want a change of scenery., • Co-working spaces available if you want an office buzz sometimes., • 34 days holiday (including flexible bank holidays) and your birthday off., • Company-wide off-sites (yes, karaoke may happen)., • Optional Personal Development Plan., • Flexible benefits platform: you choose the benefits that matter most to you (not the company)., • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions)., • Private health- and dental care for your peace of mind., • Potential share options, have a stake in what you’re building., • Enhanced family leave. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We've built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about technology and its ability to drive positive change for the future of financial services, we'd love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI.

As an AI Engineer at Avanade, you will design, build, and deliver advanced agentic AI solutions using the latest Microsoft technologies. Working directly with clients, you will help solve complex business problems by applying strong engineering practices, deep Microsoft platform expertise, and a pragmatic approach to delivering measurable outcomes. This is a hands-on, client-facing engineering role, combining AI engineering, solution design, and delivery excellence. You will work as part of multi-disciplinary teams to translate ambiguity into secure, scalable, and production-ready AI solutions. Role Responsibilities • Collaborate with clients to understand business challenges and identify opportunities where agentic AI can drive meaningful value., • Design, develop, and deploy AI agents using the latest Microsoft technologies (including Microsoft Copilot Studio, Azure AI Foundry, and supporting Azure AI and Power Platform services)., • Integrate AI solutions with enterprise systems, data sources, and workflows using Microsoft Power Platform and Azure services., • Contribute to solution and technical design, ensuring alignment with security, governance, scalability, and operational standards., • Participate in client workshops, technical discussions, and solution shaping sessions., • Support pre-sales activities when required through technical input, solution design, and proof-of-concept development., • Develop reusable assets, patterns, and accelerators that strengthen Avanade’s AI and automation capabilities., • Stay current with emerging Microsoft AI technologies and contribute to internal AI & Data communities of practice. Required Skills and Experience • Hands-on experience delivering solutions using Microsoft Copilot Studio., • Microsoft certifications in AI, Power Platform, or Azure (desirable)., • Awareness of governance, security, and responsible AI considerations in enterprise environments., • Experience working in consulting or professional services organisations., • Familiarity with Azure services commonly used in AI solutions, such as Azure OpenAI, Functions, Logic Apps, and API Management., • Experience with Microsoft Power Platform (Power Automate, Power Apps, Dataverse)., • Experience working with Azure AI Foundry or equivalent AI development capabilities on Azure. Preferred Skills and Experience • Ability to clearly communicate technical concepts to both technical and non-technical stakeholders., • Strong engineering mindset with the ability to build, test, deploy, and support production-grade solutions., • Understanding of agentic AI concepts, orchestration patterns, and multi-agent solutions., • Experience designing and delivering AI-driven or automation solutions in a client-facing environment., • Strong expertise in prompt engineering, including optimisation, testing, evaluation, and guardrail design. Enjoy your career Some of the best things about working at Avanade • Opportunity to work for Microsoft’s Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications), • Access to global Data & AI communities, accelerators, and subject‑matter experts, • The chance to work on complex, high‑impact initiatives across data governance, analytics, and AI, • Clear and supported career progression across Consultant and Senior Consultant levels Find out more about some of our benefits ___. A great place to work As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You’ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It’s all here, so take a closer look! We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our ___ page. Create a future for our people that focuses on • Expanding your thinking • Experimenting courageously • Learning and pivoting Inspire greatness in our people by • Empowering every voice • Encouraging boldness • Celebrating progress Accelerate the impact of our people by • Amazing the client • Prioritizing what matters • Acting as one Learn more To learn more about the types of projects our Data Engineering team works on check out these case studies: Interested in knowing what’s going on inside Avanade? Check out our blogs:

👋 About Renude Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. We’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more. We have raised over $4M from leading tech investors in addition to being awarded Innovate UK Grants. Our team combines tech, formulation, dermatology, e-commerce and sales expertise. 🔧 What You'll Do We’re hiring a mid-senior (4+ years experience) AI Engineer to help design, build, and scale our production AI systems with ownership from design to deployment. You’ll work end-to-end across Agentic RAG conversational agents, Agent orchestration, fine-tuning models, retrieval pipelines, evaluation frameworks and generating product recommendation for real customer interactions to deliver reliable AI-powered experiences in production. • Design, build, and deploy Agentic AI workflows and RAG-powered applications for real-world use cases, • Develop scalable backend services and APIs powering AI agents and conversational systems, • Build and optimise retrieval pipelines including embeddings, chunking, reranking, memory and vector search, • Collaborate closely with product, design, and engineering teams to shape AI-first experiences, • Integrate LLM systems into user-facing web applications and product features, • Improve response quality, reliability, latency, observability and cost efficiency of production AI systems, • Evaluate new AI frameworks, tools, and orchestration approaches across the rapidly evolving LLM ecosystem, • Influence architecture decisions for scalable, secure, and production-ready AI infrastructure ✅ What We're Looking For Must-Haves: • Bachelor’s degree in Computer Science, Artificial Intelligence, Engineering, or equivalent practical experience, • 4+ years experience building and deploying production AI applications, • 2+ years experience developing LLM-powered products, conversational AI, RAG systems, or agentic workflows, • Strong Python skills and experience building backend systems and APIs, • Hands on experience building agentic workflows, tool-calling pipelines, and stateful orchestration using frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI or similar agent orchestration frameworks, • Strong experience designing and optimising retrieval systems, including vector stores (Pinecone, Weaviate, Chroma), graph-based RAG architectures, hybrid retrieval, reranking, and semantic search pipelines, • Experience with production optimisation for RAG systems, including latency optimisation, token cost control, context management, monitoring, guardrails and prompt versioning, • Exposure to AIOps/MLOps practices and hands-on experience with AWS Bedrock, SageMaker, Vertex AI, or similar cloud AI platforms, • Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment Nice-to-Haves: • Masters or advanced degree in artificial intelligence, machine learning, natural language processing or related field, • Experience with LLM fine-tuning techniques such as LoRA, QLoRA, supervised fine-tuning (SFT), instruction tuning, and parameter-efficient model adaptation workflows, • Experience with evaluation and monitoring frameworks for LLM systems, including RAGAS, OpenEvals, DeepEval, LangSmith, OpenTelemetry or LLM-as-a-Judge evaluation frameworks, • Familiarity with graph databases such as Neo4j or Amazon Neptune, • Experience with recommendation systems, personalisation pipelines or ranking systems, • Experience building modern web applications using Django, FastAPI, React, or similar frameworks, • Comfortable using Docker and containerised development workflows, • Exposure to CI/CD pipelines, infrastructure-as-code, and cloud-native deployment practices 🌱 What We Offer • Competitive compensation (based on experience), • Remote-friendly culture with flexible working hours, • Opportunity to work with cutting edge technologies, • High ownership and real technical influence, • A supportive team that values product excellence and personal growth

Job Title: Senior Network Security Engineer Location: Remote working, but with occasional meetups in London/Surrey This is a hands‑on role at an early-stage tech company that’s building an AI‑powered cybersecurity platform for small and mid‑sized businesses and the MSPs that serve them. The product combines a plug‑and‑protect network device, a mobile app and a unified portal to deliver enterprise-grade continuous network monitoring, automated vulnerability detection and AI-guided remediation. Their Software Engineers have built a lot already. Now they need a Network Specialist to evaluate it, test it, break it, fix it and help raise the security and reliability bar across the stack. If you enjoy picking up complex systems, understanding how they behave and making them better, you’ll fit in well. The role: This is a senior role in a small team so you will need to work hands-on in multiple areas of the tech stack, requiring a depth of core networking and security knowledge, ideally along with the ability to lead others as the team grows. You will be evaluating, rules checking, testing, security testing and troubleshooting multiple device resident backend and frontend systems. You will pick up these critical systems, evaluate them and help make them as functional, secure and reliable as possible. Their solution bundles the following cybersecurity tools: • On device: Network SYN scan detection; SMB Honeypot; Scheduled network scans via embedded nmap; Sinkhole DNS server with automated domain inspection pipeline., • Network Device fingerprinting, • LLM guardrails system, including AI/ML prompt poison detection, • Public IP address scanning leveraging automated VPN tunnels, • Web admin portal (React and Node.js), • Proprietary SNMPv3 agent (Golang) reporting Windows, Mac and Linux stats, • Small business website spider inspector to assess exposure details, • CVE ticket sub-system enriching the CVE with LLMs for summary and remedy playbook, • Small business associated domain monitoring for reputation / clone analysis You don’t need to be an expert in every one of these areas, but you should have knowledge and be comfortable working across this technical landscape. What you need to bring: • Strong understanding of CVEs and the surrounding ecosystem and tools, • Deep networking knowledge across TCP/IP, DNS, DHCP, routers, firewalls, VPNs, NAT, subnets etc, • Understanding of on‑prem and cloud infrastructure network security, • Scripting skills such as Python or Bash, • Experience in testing, troubleshooting and diagnosing operations of devices and hosts on networks • Penetration testing of APIs and network services, • Linux and Ubuntu networking experience, • Familiarity with network scanning tools such as nmap, • Knowledge of cybersec frameworks like MITRE It’s helpful (but not required) if you also know: • Website architecture and security, • Microsoft Windows networking, • Test tools / frameworks, • Software engineering and architecture, with a preference for any experience coding in Python/Django, C/C++ or similar • Comfortable using AI coding tools such as Claude Code Why this role matters You’ll be joining early enough to shape how the product evolves and how the engineering culture develops, along with meaningful stock options. There’s no bureaucracy and no layers of management. Just meaningful problems to solve, systems that need improving and a team that wants someone who can take the lead where it’s needed. If you prefer hands‑on engineering over slide decks and are comfortable working in a fast-paced, ambitious startup environment, this could be the right move for you.

Machine Learning/AI Engineer | £850/day Inside IR35 | 6-month initial contract | London Industry: Technology Location: London Job Type: Contract - 6-month initial This programme delivers a production-grade enterprise agentic AI platform, with MCP as the extensibility layer. Responsibilities • Design and build MCP servers and tools that expose enterprise systems and workflows to AI agents., • Implement Skills that combine tools, data, and reasoning into structured, repeatable, and governed workflows., • Contribute to the internal AI assistant’s agentic framework, including planning, tool invocation, and orchestration logic., • Develop secure API wrappers for systems that lack appropriate authentication, authorisation, or entitlement mechanisms., • Work closely with product engineering teams in a “build-for” model, transferring knowledge and establishing reusable engineering patterns., • Shape the developer experience for MCP and Skills, including templates, contribution standards, and documentation., • Collaborate with Quality Engineering and SRE teams to ensure solutions meet requirements for reliability, governance, and operational readiness. Skills & Experience Required • Strong Python development experience in production environments., • Hands-on experience with LLMs, agent frameworks, and agentic reasoning patterns., • Practical understanding of Model Context Protocol (MCP), including tool and server design patterns., • Experience building REST APIs, ideally using FastAPI., • Familiarity with prompt engineering and retrieval-augmented generation (RAG) architectures., • Experience with containerisation and Kubernetes-based deployment environments., • Ability to operate across platform, product, and governance boundaries in large enterprise settings.

AI Architect Hybrid (London, Bristol, Leeds, Manchester) Initial 3 months with extensions Inside IR35 - Umbrella only Our client, a reputable organisation in the IT sector, is seeking a talented AI Architect to join their team on a hybrid basis. This is a fantastic opportunity to work on cutting-edge AI solutions within a dynamic environment. What you'll be doing: • Design and develop Microsoft Azure AI solutions using services such as AI Foundry, Open-AI, and Microsoft Copilot Studio., • Apply governance frameworks to ensure responsible AI/ML model deployment., • Use Python to automate processes and optimise workflows., • Handle large datasets, including data preprocessing, feature engineering, and model evaluation., • Lead the agile development of AI solutions from concept through deployment and ongoing improvement., • Create and maintain comprehensive technical documentation., • Proven experience (3 years) in AI solution engineering, with a focus on large language models, prompt engineering, and RAG implementations., • Strong skills in data analytics, MLOps practices, and API development., • Knowledge of governance frameworks for AI/ML models.

For over 20 years James Lewis Ltd has provided a wide variety of engineering services to the major Bus & Coach operators and manufacturers throughout the UK. We have varied projects with multiple clients throughout the UK and are looking for experienced & flexible engineers who are able to adapt to the diverse nature of our work. Job Types: Contract & Perm positions available Salary: £25-36.61ph Shift: Multiple shifts available Benefits: * Overtime Available Duties to include: * Undertaking Vehicle maintenance, servicing and running repairs on a varied fleet (including M.O.T preparation) * Prompt Repair of all defective vehicles to the highest standard * Ensure vehicles are maintained in accordance with the Company Operators Licence guidelines * Ensure all repairs to company vehicles are carried out in a timely manner * Have an ability to work to the highest Health & Safety standards * Prep & Presentation for VOSA tests * Preventative Maintenance * Fault Diagnostics * All associated paperwork, reports and admin Candidates must have a recognised qualification in PCV or HGV Engineering and ideally have +3 years of post-apprenticeship experience. Your own set of tools is essential, as is a valid driving licence. A PCV driving licence would be ideal but not essential. About us: James Lewis is the market leader in supplying contract and permanent workforce solutions to the Automotive, Transport and Heavy Powe...

Accelerant is seeking a Product Area Lead Architect to provide hands on, operational architectural leadership for our Insights, Analytics & Workflows product area. This role operates at a Principal level, influencing architecture and execution across multiple autonomous product teams. You will work closely with team architects, engineering managers, product managers, and Data Science teams to ensure teams move fast without fragmenting the architecture. This is not an ivory tower architecture role. It is highly collaborative, pragmatic, and operational, focused on identifying architectural gaps, managing dependencies, and enabling teams to execute confidently within a shared architectural framework. You will champion standards based architecture, leveraging web standards, open protocols, and industry conventions to build interoperable, accessible, and future proof systems. Key Responsibilities Operational Architectural Leadership • Ensure architectural alignment across product teams, partnering closely with team architects and engineering managers, • Proactively identify architectural gaps, technical debt, and quality risks; drive resolution through collaboration and influence, • Manage cross team technical dependencies to enable independent, parallel execution, • Translate architectural strategy into clear, actionable guidance that teams can apply sprint by sprint Cross Team Coordination & Alignment • Facilitate architectural discussions and resolve technical conflicts across teams through principled, pragmatic decision making, • Act as an escalation point for complex cross team technical challenges, • Ensure architectural decisions are clearly communicated, understood, and consistently applied Design and Innovation • Define and maintain architectural patterns across backend services, APIs, data platforms, and front end systems, • Design scalable, resilient systems for analytics, workflow orchestration, and intelligence features, • Guide decomposition of legacy systems into well defined services and domains, • Evaluate technologies and data stores, favoring open standards and long term maintainability, • Architect distributed systems with focus on reliability, fault tolerance, and scalability Standards & Governance • Establish API design standards ensuring consistency, discoverability, and ease of integration, • Define front end standards prioritizing web platform capabilities, progressive enhancement, and accessibility (WCAG), • Create governance frameworks that balance standardization with team autonomy, • Drive adoption of industry standards (OAuth2, OpenID Connect, OpenTelemetry, JSON:API) over proprietary alternatives Technical Leadership • Partner with engineering teams on design reviews, PR reviews, and implementation guidance, • Establish standards for cross cutting concerns: API versioning, auth, observability, error handling, and resiliency patterns, • Collaborate with platform and DevOps teams on containerization, CI/CD, and cloud native deployment, • Produce clear technical design documentation that drives alignment and knowledge sharing, • Mentor engineers and raise the overall architectural maturity of the organization GenAI, ML & AI Architecture • Architect customer facing GenAI features using LLMs, including RAG pipelines, prompt engineering frameworks, and conversational AI interfaces, • Define patterns for ML model integration: serving endpoints, API contracts, versioning, and health monitoring, • Partner with Data Science to translate models into production grade features with clear integration contracts and deployment workflows, • Establish standards for responsible AI, including evaluation criteria, privacy guardrails, and LLM output validation AI Transformation & Productivity Leadership • Scale AI driven development workflows across teams, ensuring engineers leverage AI coding tools effectively, • Guide team architects and coach senior engineers on using AI tools to enhance productivity and code quality, • Work hands on with teams to identify opportunities for AI to solve operational challenges and improve velocity Solution Evaluation & Quality Assurance • Evaluate and recommend technologies to enhance capabilities across analytics, workflow, and intelligence domains, • Ensure architectural integrity through code reviews, assessments, and continuous monitoring, • Proactively identify technical risks and devise strategies for reliability, security, and performance Technical Requirements Full Stack SaaS Architecture: • Strong proficiency in modern JavaScript/TypeScript and Node.js, • Deep knowledge of web platform fundamentals and browser native capabilities, • Experience designing and evolving well structured APIs for platform integrations Architectural & Systems Thinking: • Deep knowledge of architecture principles, design patterns, and distributed systems, • Proven ability to make pragmatic tradeoffs in complex, evolving systems, • Experience in cloud native environments, preferably AWS AI Enabled Engineering: • Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, Claude, etc.), • Understanding of AI applications for development productivity and code quality improvement Qualifications • 8 to 12+ years in software engineering and architecture roles, • Proven experience operating across multiple agile teams in an architectural leadership capacity, • Track record of managing cross team dependencies and bridging architectural vision with day to day execution, • Proven ability to drive AI adoption and transformation within engineering organizations, • Excellent communication and facilitation skills with ability to align work across distributed teams, • Pragmatic, operational mindset with strong problem solving abilities, • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

AI Engineer Liverpool (Hybrid - 2 days per week in office) Basic salary circa £75k This AI Engineer position sits within a forward-thinking technology team focused on using AI and automation to improve efficiency, quality, and user experience across the organisation. As an AI Engineer, you'll focus on designing and implementing AI-first workflows, building intelligent agents, and integrating them into core business systems. The work is varied - ranging from generative AI use cases through to workflow automation and system integration - always with a focus on delivering measurable outcomes. You'll operate as an AI Engineer who can take ideas from concept through to production, working across stakeholders, data, and systems to deliver solutions that are both technically sound and commercially valuable. AI Engineer - Key Requirements: Experience developing and deploying AI-powered workflows or intelligent automation Hands-on exposure to tools such as Azure OpenAI, Copilot Studio, or similar platforms Understanding of generative AI approaches, including prompt engineering and RAG Experience integrating enterprise systems via APIs and connectors Familiarity with Power Platform (Power Automate, Power Apps) Awareness of governance, security, and data protection considerations Strong problem-solving mindset and ability to deal with ambiguity Comfortable communicating with both technical and non-technical stakeholders AI Engineer - Salary & Benefits: Basic salary circa £75k Discretionary bonus Competitive pension scheme 25 days holiday (+ bank holidays) Private medical cover Life assurance and income protection Share save scheme Flexible benefits and learning opportunities This AI Engineer role would suit someone who enjoys working at the intersection of AI, automation, and real business problems, with the opportunity to shape how the organisation approaches intelligent automation. We are an equal opportunities employer and welcome applications from all suitably qualified candidates, regardless of race, sex, disability, religion/belief, sexual orientation, or age. TPBN1_UKTJ

Description Join us, be part of more. We're so much more than an energy company. We're a family of brands revolutionising how we power the planet. We're energisers. One team of 21,000 colleagues that's energising a greener, fairer future by creating an energy system that doesn't rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion, and more potential. That's why working here is #MoreThanACareer. We do energy differently - we do it all. We make it, store it, move it, sell it, and mend it. Centrica, Technology is a core driver of how we deliver our strategy. You'll join a team modernising our platforms, strengthening cyber and operational resilience, and advancing a product-led way of working that brings engineers, data specialists and business experts together to deliver meaningful outcomes at pace. We're scaling automation and AI from proof-of-concept into real, end-to-end change - improving customer journeys, reducing cost-to-serve, accelerating delivery, and building the digital foundations that underpin everything from energy trading and risk to field operations and critical infrastructure. If you want to work on complex, high-impact problems using modern engineering practices, and help build reusable platforms that will shape how Centrica operates over the next decade, this is the place to do it. An opportunity to play your part. Centrica, Technology is a core driver of how we deliver our strategy. You'll join a team modernising our platforms, strengthening cyber and operational resilience, and advancing a product-led way of working that brings engineers, data specialists and business experts together to deliver meaningful outcomes at pace. We're scaling automation and AI from proof-of-concept into real, end-to-end change - improving customer journeys, reducing cost-to-serve, accelerating delivery, and building the digital foundations that underpin everything from energy trading and risk to field operations and critical infrastructure. If you want to work on complex, high-impact problems using modern engineering practices, and help build reusable platforms that will shape how Centrica operates over the next decade, this is the place to do it. As a Software Engineer within the Centrica Field Operations Platform, you will play an integral role on the team responsible for enhancing our ability to forecast and schedule colleague availability to effectively meet customer demand. This involves ensuring engineers with the appropriate skill sets are dispatched efficiently to customer locations. You will collaborate as a member of Field Platform Engineering squads, supporting the efficient building, testing, and deployment of software solutions Day to day: Design, build, test, and maintain high-quality software solutions across the Field Operations Platform Deliver well-structured, secure, and maintainable code that meets agreed functional and non-functional requirements, adhering to established engineering standards and best practices. Work as part of a cross-functional squad, collaborating closely with Product, QA, Architecture, and Operations to deliver customer and business outcomes. Participate in code reviews, design discussions, and technical refinement sessions, providing constructive input and learning from others. Own the quality of your work through automated testing, peer review, and proactive defect resolution. Support the operation of live services by contributing to incident investigation, root cause analysis, and ongoing platform improvements. Continuously improve your technical skills and understanding of the platform, tools, and domain, applying a growth mindset to both delivery and learning. Follow security, compliance, and data protection requirements, ensuring customer and business data is handled responsibly. Take ownership for delivering agreed work items to a high standard, raising risks and blockers early, and contributing positively to team delivery. Key Stakeholders: Software Engineering Managers, Principal Software Engineers, Product teams, Security teams, Infrastructure teams Problem Solving & Decision Making: Applies strong technical and product judgement to evaluate trade-offs and make decisions that optimise customer impact, performance, reliability, and development efficiency. Owns technical decisions relating to application development, while influencing architectural and strategic decisions across the broader product space. Uses data, analytics, insight, and automated testing outputs to inform decisions and prioritise improvements. Operates within established engineering, security, privacy, and governance frameworks, while helping to refine them to support faster, safer delivery. Makes timely decisions that balance innovation with risk, enabling the team to deliver value quickly without compromising quality. Applies judgement and engineering expertise to validate automated outputs, ensuring accuracy, safety, and ethical use. Focuses on principles such as robustness, privacy, maintainability, and customer trust, without tying the role to specific technologies that may change over time. What We Need From You: Demonstrated experience working as a software engineer within a cross-functional delivery team in a modern product or platform environment. Working knowledge of modern software engineering practices including source control, CI/CD pipelines, automated testing and code review. Experience writing secure, maintainable and well-tested code, with an understanding of non-functional requirements such as performance, resilience and scalability. Familiarity with cloud-native concepts such as event-driven architectures, asynchronous processing and managed services. Experience supporting live services, including participation in incident investigation, defect resolution and continuous improvement activities. Understanding of security, data protection and compliance principles relevant to customer platforms and enterprise systems. Ability to analyse problems, troubleshoot issues and contribute to technical solutions with appropriate guidance. Strong communication skills, with the ability to collaborate effectively with engineers, product managers, QE and other stakeholders. Hands on experience in: C# .NET Core SQL NOSQL Azure API Management Azure Functions Azure Data Factory Logic Apps Service bus queue Storage Account Application Insights Key Vault Event Grid Container Registry Batch account Core Competencies & Technical Skills (AI and emerging technology): Designs, integrates and operates AI-enabled solutions within enterprise environments, including prompt-driven workflows, retrieval-augmented systems and AI agents. Applies structured evaluation, testing and monitoring practices to ensure AI outputs are reliable, secure and compliant with organisational guardrails. Prepares and manages data used in AI workflows and takes responsibility for the responsible lifecycle of AI features from experimentation through deployment and continuous improvement. Why should you apply? We're not a perfect place - but we're a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That's why we've designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we're a great place to work and what being part of more means for you. If you're full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority. Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey. TPBN1_UKTJ

Description Join us, be part of more. We're so much more than an energy company. We're a family of brands revolutionising how we power the planet. We're energisers. One team of 21,000 colleagues that's energising a greener, fairer future by creating an energy system that doesn't rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion, and more potential. That's why working here is #MoreThanACareer. We do energy differently - we do it all. We make it, store it, move it, sell it, and mend it. Centrica, Technology is a core driver of how we deliver our strategy. You'll join a team modernising our platforms, strengthening cyber and operational resilience, and advancing a product-led way of working that brings engineers, data specialists and business experts together to deliver meaningful outcomes at pace. We're scaling automation and AI from proof-of-concept into real, end-to-end change - improving customer journeys, reducing cost-to-serve, accelerating delivery, and building the digital foundations that underpin everything from energy trading and risk to field operations and critical infrastructure. If you want to work on complex, high-impact problems using modern engineering practices, and help build reusable platforms that will shape how Centrica operates over the next decade, this is the place to do it. An opportunity to play your part As a member of the developer platforms team you'll be in a role managing, securing and promoting our various developer platforms within Centrica, you'll be engaging with many teams across the business and have a chance to make a difference helping make their day to day easier and more robust. Day to day - Handling support issues for our end users and making sure they have what they need to do their jobs - Working on onboarding new developer platforms, securing and documenting them - Enabling teams by helping with setup and ongoing support of their consumed platforms - Building automations to improve and smooth out the processes and journeys developers go on when using our platforms - Delivering new guardrails and enabling teams with new feature demos/templates/etc. - Keeping up to date on the latest from our suppliers and internally promoting new features to help developers get the most out of our platforms What we need from you - A good attitude and outlook, someone able to bridge the gap between management and non-technical stakeholders and the development teams - Experience using and running developer platforms, including but not limited to; GitHub, AWS and Azure - A willingness to jump in and learn new technologies AI / Digital literacy competencies Designs, integrates and operates AI-enabled solutions within enterprise environments, including prompt-driven workflows, retrieval-augmented systems and AI agents. Applies structured evaluation, testing and monitoring practices to ensure AI outputs are reliable, secure and compliant with organisational guardrails. Prepares and manages data used in AI workflows and takes responsibility for the responsible lifecycle of AI features from experimentation through deployment and continuous improvement. What's in it for you? Enjoy a generous market salary, along with fantastic growth opportunities and a vibrant work environment! Power up your pay with a 15% Employee Energy Allowance, surpassing the government's price cap! Secure your future with our comprehensive pension plan, designed for peace of mind. Elevate your health with our fully-funded company healthcare plan, prioritizing your well-being. Recharge with a generous 25-day holiday allowance, plus public holidays, and even purchase up to 5 extra days for extended relaxation! Experience unparalleled work-life balance with an exceptional selection of flexible benefits, from tech treats and eco-friendly car leases to travel insurance for your adventures! About the job Design, Build and Operate Developer platforms for development teams throughout Centrica to consume. Work with stakeholders such as Infosec, Strategy and Architecture and T&N to ensure our developer platforms deliver to their requirements. Provide guidance on developer best practises. Work with our Cloud Engineering and development teams to deliver highly available tools and services to assist with operational and development tasks Empower our developer teams to deliver. Required Skills 3 or more years GitHub experience 3 or more years experience of Cloud Computing (AWS or Azure) Demonstrable git skills Experience with configuration management tools like Terraform. Experience with a languages like go, python and nodejs Experience with continuous integration systems Demonstrable hands on experience of running highly available services Expert problem solving skills Personal Traits Passionate about software: Active on GitHub A self-starter who knows how to RTFM Easy to work with; open, honest, and good sense of humour Upbeat and optimistic; comfortable celebrating failure when it leads to learning and iteration. Why should you apply? We're not a perfect place - but we're a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That's why we've designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we're a great place to work and what being part of more means for you. If you're full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority. Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey. TPBN1_UKTJ

Tagging & Optimisation Manager London (Hybrid - 3 days in office) | Permanent £80-85k base + 20% bonus (c.£110k+ total comp) Overview A leading global fintech is reshaping how it measures, personalises and scales its marketing, and they need someone to own the tagging, optimisation and attribution layer that underpins all of it. Newly defined role inside an established Marketing Tech team, with a wider function built out of people from digital-first organisations. Performance-led, not a traditional financial services environment. The Role You'll own the tagging and optimisation stack end-to-end, from the data layer up through GA4, GTM and server-side, into attribution, experimentation and the reporting layer the business actually uses. You'll be the person performance, growth, SEO and CRM teams come to when they need data they can trust and a measurement model they can actually optimise against. You'll work alongside an existing MarTech Delivery Lead. Typical work: Owning the tagging stack across GA4, GTM, server-side tagging and conversion APIs Designing and maintaining the data layer across web, app and server-side Leading attribution and multi-touch attribution modelling Driving optimisation, experimentation and conversion improvements off the back of the data Unlocking analytics for SEO, performance, growth and CRM teams to act on Scoping and delivering AI-powered marketing solutions, from experimentation into production Requirements Hands-on with GA4, GTM and server-side tagging (or strong on one and growing into the others) Solid grasp of conversion APIs, data layer design and attribution Hands on experience with mult touch attribution Background in digital analytics, MarTech, performance marketing, optimisation or measurement Some exposure to AI, ML or automation in a marketing or commercial context Bias for shipping, not just discovery decks Nice to have AI workflow tooling or prompt engineering A/B testing, experimentation or CRO experience MMM Adobe Analytics (or other analytics platforms beyond GA4) Comfort around APIs, data schemas and integrations *Rates depend on experience and client requirements TPBN1_UKTJ

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £30,000–£45,000 We Get You Hired! We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Contract Senior Software Engineer (Java or Python) | Inside IR35 Contract length: 6 months (with potential to extend) Location: London Working Environment: On-site You will be joining a private equity firm as a senior software engineer, to work across the following responsibilities: Develop and support P&L, accounting, and returns-calculation applications across trading books Build and extend our Client Reporting Framework Add instrument and asset class coverage in our Trade Repository system Manage data exchange with third-party vendors via SFTP and AWS S3 Use AI coding assistants (Claude, Cursor, GitHub Copilot) to compress delivery timelines while maintaining full code ownership and quality accountability Collaborate with quant researchers and traders to translate complex financial requirements into auditable, production-grade code Provide production support, working with Platform and SRE teams as needed Key Requirements: Technical: 8+ years commercial experience in Python or Java across the full development lifecycle 5+ years in financial services (buy-side strongly preferred) Solid relational database skills; MS SQL Server a strong plus Snowflake experience required Familiarity with AWS (S3, Lambda, EC2, Glue or similar) Proficiency with Git, CI/CD pipelines, and observability tooling (e.g. Datadog)AI & Tooling: Proven, hands-on experience shipping production code using AI coding assistants such as Claude, Cursor, or GitHub Copilot Demonstrable examples where AI tooling reduced delivery time by 2x or more on a meaningful task Strong prompt engineering skills and the ability to critically evaluate AI-generated code for correctness, security, and financial accuracyDesirable, but no essential: Experience with Apache Airflow or similar workflow schedulers REST or GraphQL API design experience Knowledge of fixed income, FX, or derivatives products and associated P&L/risk methodologies

Our OEM Client based in Gaydon, is searching for a Senior Vehicle Integration Engineer – Large SUV to join their team, Inside IR35. This is a contract position with a proposed end date of 31st March 2027. Umbrella Pay Rate: £33.64 per hour. What to expect: You'll be a Vehicle Integration Engineer driving the development of new and existing vehicle architectures. Responsible for driving and leading the integration of new technologies within that zone into new and existing vehicle architectures. Drive functional and attribute target delivery, acting as the voice of the customer to lead any arbitration required. Accountabilities and Responsibilities: Accountable as the leader and technical arbitrator, integrating and delivering the engineering for the whole vehicle whilst ensuring compatibility with GRID, the commodity/system strategies and functional targets. Lead Group functional integration for given vehicle, to drive out complexity and deliver the most efficient technical solutions. Work closely with Vehicle Attribute Robustness team to drive delivery of embedded design quality, service and manufacturing requirements. Drive vehicle technical data progression (CAD, DV, AIMS, Build, Test & Releasing etc..) with groups & interfacing team leads. Oversee alignment on, and subsequent delivery of, Minimum Viable Product into both virtual and physical verification and validation through life of Programme. Drive cross group obstacle resolution, ensuring timely escalation to nameplate and / or Architecture VEM as required. Ensure prompt escalation of technical blockers/incompatibilities to Vehicle/Chapter/Enterprise leadership via the Obstacle process. Support study & Agile spike activities to solve complex engineering problems. Essential Skills, Experience and Knowledge Required: Automotive technical knowledge and extensive experience of complex interactions, including technical analysis and decision-making. Demonstrated understanding automotive technology with an advanced level of technical depth into vehicle, system and component detailed design, development and delivery, ability to interrogate and ratify incoming technical standards, system and component assumptions. Excellent written and verbal technical communication, influencing and negotiation skills Experience in leading teams of people to solve complex technical issues using a structured approach e.g. 8D and/or Six Sigma. Project Management experience of delivery against a complex set of Programme technical deliverables. An individual with a customer first mindset who is easy to do business with and makes people feel special, driven to deliver experiences that are personalised, transparent and dependable. Progressive thinking individual who takes a keen interest in new ideas and key industry developments. Ability to embrace the Agile model and work effectively as a champion of Agile principles in practice. A resilient individual who has strong influencing and engagement skills, is comfortable challenging all stakeholders and can build credibility and trust through experience and personal style. An individual who can demonstrate exceptional capability in leadership and management skills, who can motivate, develop and lead cross-functional and functional teams. Key Interactions: PGL (Program Group Lead) for the given zone. PGL/TGL for interfacing zones. STGL & VEM. Engineering Delivery Director. Technology Center Leads. Architecture & Vehicle Programme Product Owners (POs). Lead Engineers. Engineering Delivery. Design. External supplier / partner specialist technical collaboration as required to develop complex strategic technical proposals. Additional Information: 100% onsite. Travel across Warwickshire to other sites may be required. TPBN1_UKTJ

Role: Senior ML Engineer - Agentic AI Platforms Location: London (3 days a week onsite) Rates: Up to £900 p/d DOE (Inside IR35) I'm looking for an experienced ML Engineer to join a central AI engineering function responsible for building and scaling enterprise-grade agentic AI capabilities across a global organisation. This team owns the core AI enablement platform used internally to support AI agents, orchestration workflows, knowledge retrieval, and secure tool integration at scale. The environment is highly engineering-focused, combining platform thinking with hands-on AI delivery. The role will involve designing and building MCP servers, AI tools, orchestration Skills, and secure API integrations that expose enterprise systems safely to LLM-powered agents. You'll also contribute to agent planning, tool-calling frameworks, RAG architecture, and the broader developer experience for internal AI platform adoption. Key requirements: * Strong Python engineering experience * Experience with LLMs, AI agents, and agentic reasoning patterns * FastAPI and REST API development * RAG and prompt engineering experience * Kubernetes/containerisation knowledge * Exposure to MCP or similar AI tooling frameworks * Ability to work across platform and product engineering teams This is an opportunity to help shape the future of enterprise AI infrastructure within a large-scale, modern engineering environment focused on governance, scalability, and production-quality AI systems. If interested, please reach out to Fintan at TEC Partners

Job Title: SC CLEARED Copilot SME - Studio Agents (AI Agent Builder) Location: Remote Contract Type: 3-6 Month Contract (with possible extension) Role Overview We are seeking a highly skilled Copilot Subject Matter Expert (SME) with a strong focus on designing, building, and optimizing Studio Agents. This role will lead the development of intelligent AI agents that enhance productivity, automate workflows, and deliver scalable business solutions using Microsoft Copilot technologies. Key Responsibilities Design, build, and deploy AI-powered Studio Agents using Microsoft Copilot and related platforms Act as the SME for Copilot capabilities, advising stakeholders on best practices and use cases Collaborate with business teams to identify automation opportunities and translate them into agent solutions Configure, test, and optimize conversational flows, prompts, and integrations Ensure governance, compliance, and security standards are applied to all Copilot solutions Provide training, documentation, and ongoing support to internal teams Stay current with emerging AI, Copilot, and agent-based technologiesRequired Skills & Experience Proven experience with Microsoft Copilot, Power Platform, or similar AI tools Strong understanding of AI agents, prompt engineering, and conversational design Experience integrating APIs, data sources, and enterprise systems Familiarity with Microsoft 365 ecosystem (Teams, SharePoint, Dynamics, etc.) Strong problem-solving skills and ability to translate business needs into technical solutions Excellent communication and stakeholder management skillsPreferred Qualifications Experience with Azure AI services or OpenAI technologies Background in automation, RPA, or workflow orchestration Knowledge of governance and security best practices for AI solutions Certifications in Microsoft AI, Power Platform, or Azure

AI Engineer Salary: £95,000 - £105,000 London (Hybrid) At Data Idols, we are working with a forward-thinking technology business that is building advanced AI-driven platforms to automate complex workflows and deliver intelligent insights at scale. This is a high-growth environment where engineering plays a critical role in shaping product capability. The business is now looking for a Senior Backend AI Engineer to take ownership of its AI and platform architecture as it continues to scale. The Opportunity This is a senior, high-impact role where you will own the design and delivery of both AI orchestration systems and the underlying platform infrastructure. You will be responsible for building the layer that connects AI models, workflows, and decision-making processes, while also ensuring the platform is secure, scalable, and compliant for enterprise use. Working closely with product, data, and engineering teams, you will play a key role in bringing AI-driven features into production and ensuring they operate reliably and efficiently. This role suits someone who enjoys building from scratch, taking ownership, and working across both AI systems and platform engineering in a fast-moving environment. Skills and experience Strong experience with Python Experience building production systems using LLMs or generative AI Knowledge of prompt engineering, RAG, or agent-based architectures Experience working with APIs, distributed systems, or event-driven architectures Understanding of authentication and security protocols Experience building secure, scalable platforms Knowledge of observability, monitoring, and system reliability Proven experience owning systems end-to-endIf you are looking for a new challenge and want to work on cutting-edge AI systems, please submit your CV for initial screening and further details. AI Engineer

IN HOUSE COMMERCIAL AND CONSTRUCTION LAWYER - ENERGY & POWER LONDON HYBRID WORKING - 3 DAYS PER WEEK IN OFFICE; 2 DAYS FROM HOME PERMANENT ROLE Role Overview: Morgan Philips Specialist Recruitment are presently representing a fast growing, UK based owner, operator and developer of energy assets in their search for an In House Lawyer. The successful candidate will be responsible for advising on project development, construction, commercial, procurement and operational matters for energy & infrastructure projects. Our client's legal team legal team works closely with the commercial, technical and finance teams to provide high quality, business focused advice and support. Their in house lawyers play an active part in key commercial decision making and risk management. This role will focus on supporting the legal team in all activities related to the development and commercial management of power projects. This will involve working closely with the project development, engineering and procurement teams and external stakeholders. Key Accountabilities: Advising project and execution teams on legal and commercial issues and risks arising through the whole lifecycle of renewable and conventional energy projects; Advising, independently and in conjunction with senior lawyers and/or external counsel, on a range of contracts with local and international counterparties related to the construction, project development and commercial operation of our assets; Drafting and negotiating standard form and bespoke contracts for the procurement of assets and services; Advising on the acquisition of renewable and conventional energy assets, businesses, and development opportunities; Working closely with and advising the commercial and financial specialists within the team in negotiations and assisting prompt decision-making among key stakeholders; Assessing project risks and risk management strategies and presenting these to directors and senior team members; Providing proactive legal support to commercial and operations teams on projects that are in-contract and completed and assist monitoring of on-going performance to enable the business to anticipate issues and manage risks that may arise; Ensuring that projects and transactions comply with all relevant corporate and regulatory requirements; Reviewing or performing legal due diligence where required; Ensuring ongoing compliance with responsibilities under law and regulation; Instructing, liaising with, and working alongside external legal counsel where required, including managing such external legal counsel to ensure that costs are minimised and delivered on budget; and About You: UK qualified Solicitor with 3-6 years post qualification experience either in private practice or In House Previous experience within the energy or infrastructure sectors Experience drafting and negotiating key commercial, construction and/or procurement contracts Experience of advising on and managing disputes within the infrastructure or energy sectors would be desirable although not essential. Please note you will receive an automated response advising you that we have received your CV. Morgan Philips Group is a global talent solutions business that disrupts conventional thinking in executive search, recruitment and talent consulting. We operate in over 18 markets in Europe, North & South America, Asia, and the Middle East & Africa. We understand that the future is digital and social, so we embrace the latest technology, including video ads and CVs, as well as social recruiting. Our innovative services are tailored to the new world of work yet we do not lose sight of the fact that employees be they existing and potential are ultimately human beings. We are committed to ensuring that all job applicants are treated equally, without discrimination because of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age

Job Role: Fabric Technician Salary: 35K - 38K per annum Our Client is the UK’s largest independent engineering and services business. Its Facilities Services division provides mechanical, electrical, and integrated building maintenance. The company offers a national footprint with strong regional presence to ensure commercial spaces, public infrastructure, and retail sites operate efficiently, safely, and sustainably. Basic Duties: * A key success factor in the Fabric Technicians role is communication, particularly in reporting fabric or plant problems/failures that may impact on the clients business. It is essential that the details of all plant problems/failures are communicated to supervisor immediately. * To carry out PPM in accordance with set schedules, ensuring standards are maintained in order to maximise the appearance and operational effectiveness of the building and associated systems. To include a range of fabric maintenance activities such as painting and decorating, carpentry, doors, locks, toilets, drains, building fabric repairs and stadium inspections. * Be proactive with regard to preventative maintenance and good site husbandry. * Adherence to set standards in accordance with Health and Safety at Work Act (HASAWA) requirements. * To ensure onsite Quality Assurance procedures are adhered to in all respects and to maintain accurate records/documentation associated with aspects of the PPM. * To respond in a prompt and effective manner to all Helpdesk related reactive maintenance issues, associated with the building fabric and other systems as appropriate. * To co-ordinate visiting specialist sub contractors associated with aspects of the PPM schedules. * To respond to call outs and cover breakdowns and emergencies associated with the building fabric aspects of the contract as required. * Repairs of associated plant, equipment, fabric and systems. * Assist other trades as necessary. * Carry out tasks assigned by the supervisor / Manager. * Support the reduction of energy across site, with this being at the forefront of your thinking during routine and reactive maintenance. * To provide reports in relation to work and equipment as required * To undertake miscellaneous duties as requested or directed. * To proactively identify extra work and project opportunities to maximise the operation and efficiencyy of the stadium Qualifications: * NVQ / City & Guilds Level 3 – Fabric dicipline (decorating, carpentry, etc) * 3 - 5 years experience in a similar field * Experienced in the aspects of general building Planned Preventative Maintenance(PPM) schedules * Competent working knowledge of mechanical systems * Legionella Awareness Working Hours: 8.00am - 5.00pm with one hour lunch break. Flexibility required to do overtime to cover events and emergency breakdown

Trainee AI Programmer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £30,000–£45,000 We Get You Hired! We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Microsoft AI Copilot Consultant (Contract) - Azure AI Foundry / Copilot Studio Location: UK (Remote with occasional travel) Contract Length: Initial 2 months (likely extension) Start Date: 1st May (ASAP) Day Rate: £550-£650 per day (DOE) IR35 Status: TBC (Commercial engagement - likely Outside, subject to assessment) Overview We are supporting a customer who requires an experienced Microsoft AI Copilot Consultant to lead the rapid design and deployment of AI-powered solutions using Microsoft's latest Copilot and Azure AI stack. This is a fast-moving engagement with an immediate start, ideal for someone who can quickly get up to speed and deliver value in a short timeframe. Key Responsibilities Design and implement AI solutions using Microsoft Copilot Studio Build and deploy intelligent agents leveraging Azure AI Foundry Develop and configure Copilot agents for business use cases Integrate AI solutions into existing Microsoft ecosystem (M365, Dynamics, Azure) Work closely with stakeholders to gather requirements and translate into AI-driven solutions Deliver rapid prototyping and iterative improvements Ensure best practices around security, governance, and scalability Required Experience Hands-on experience with Microsoft Copilot / Copilot Studio Proven experience building AI agents using Azure AI / Azure OpenAI services Experience with prompt engineering, LLM orchestration, and agent workflows Solid understanding of Microsoft Azure ecosystem Experience integrating AI into enterprise environments Ability to work in fast-paced, delivery-focused projects Desirable Skills Experience with Power Platform (Power Automate, Power Apps) Knowledge of RAG (Retrieval-Augmented Generation) architectures Familiarity with enterprise data security and compliance in AI solutions Previous consulting or client-facing delivery experience Working Pattern Primarily remote (UK-based) Occasional travel may be required Must be available for some late afternoon meetings (typically 4:00pm - 5:30pm UK time) to collaborate with US stakeholders Interested? If this role sounds like you, then why are you still reading?! APPLY NOW

Our OEM Client based in Gaydon, is searching for a Vehicle Integration Engineer – Large SUV to join their team, Inside IR35. This is a contract position with a proposed end date of 31st March 2027. Umbrella Pay Rate: £27.03 per hour. What to expect: You'll be a Vehicle Integration Engineer driving the development of new and existing vehicle architectures. Responsible for driving and leading the integration of new technologies within that zone into new and existing vehicle architectures. Drive functional and attribute target delivery, acting as the voice of the customer to lead any arbitration required. Accountabilities and Responsibilities: Accountable as the leader and technical arbitrator, integrating and delivering the engineering for the whole vehicle whilst ensuring compatibility with GRID, the commodity/system strategies and functional targets. Lead Group functional integration for given vehicle, to drive out complexity and deliver the most efficient technical solutions. Work closely with Vehicle Attribute Robustness team to drive delivery of embedded design quality, service and manufacturing requirements. Drive vehicle technical data progression (CAD, DV, AIMS, Build, Test & Releasing etc..) with groups & interfacing team leads. Oversee alignment on, and subsequent delivery of, Minimum Viable Product into both virtual and physical verification and validation through life of Programme. Drive cross group obstacle resolution, ensuring timely escalation to nameplate and / or Architecture VEM as required. Ensure prompt escalation of technical blockers/incompatibilities to Vehicle/Chapter/Enterprise leadership via the Obstacle process. Support study & Agile spike activities to solve complex engineering problems. Essential Skills, Experience and Knowledge Required: Automotive technical knowledge and extensive experience of complex interactions, including technical analysis and decision-making. Demonstrated understanding automotive technology with an advanced level of technical depth into vehicle, system and component detailed design, development and delivery, ability to interrogate and ratify incoming technical standards, system and component assumptions. Excellent written and verbal technical communication, influencing and negotiation skills Experience in leading teams of people to solve complex technical issues using a structured approach e.g. 8D and/or Six Sigma. Project Management experience of delivery against a complex set of Programme technical deliverables. An individual with a customer first mindset who is easy to do business with and makes people feel special, driven to deliver experiences that are personalised, transparent and dependable. Progressive thinking individual who takes a keen interest in new ideas and key industry developments. Ability to embrace the Agile model and work effectively as a champion of Agile principles in practice. A resilient individual who has strong influencing and engagement skills, is comfortable challenging all stakeholders and can build credibility and trust through experience and personal style. An individual who can demonstrate exceptional capability in leadership and management skills, who can motivate, develop and lead cross-functional and functional teams. Key Interactions: PGL (Program Group Lead) for the given zone. PGL/TGL for interfacing zones. STGL & VEM. Engineering Delivery Director. Technology Center Leads. Architecture & Vehicle Programme Product Owners (POs). Lead Engineers. Engineering Delivery. Design. External supplier / partner specialist technical collaboration as required to develop complex strategic technical proposals. TPBN1_UKTJ

Our OEM Client based in Gaydon, is searching for a Vehicle Integration Leader to join their team, Inside IR35. This is a contract position with a proposed end date of 31st March 2027. Umbrella Pay Rate: £33.64 per hour. What to expect: You'll be a Vehicle Integration Leader driving the development of new and existing vehicle architectures. Responsible for driving and leading the integration of new technologies within that zone into new and existing vehicle architectures. Drive functional and attribute target delivery, acting as the voice of the customer to lead any arbitration required. What you'll be responsible for: Accountable as the leader and technical arbitrator, integrating and delivering the engineering for the whole vehicle whilst ensuring compatibility with GRID, the commodity/system strategies and functional targets. Lead Group functional integration for given vehicle, to drive out complexity and deliver the most efficient technical solutions. Work closely with Vehicle Attribute Robustness team to drive delivery of embedded design quality, service and manufacturing requirements. Drive vehicle technical data progression (CAD, DV, AIMS, Build, Test & Releasing etc..) with groups & interfacing team leads. Oversee alignment on, and subsequent delivery of, Minimum Viable Product into both virtual and physical verification and validation through life of Programme. Drive cross group obstacle resolution, ensuring timely escalation to nameplate and / or Architecture VEM as required. Ensure prompt escalation of technical blockers/incompatibilities to Vehicle / Chapter / Enterprise leadership via the Obstacle process. Support study & Agile spike activities to solve complex engineering problems. Essential Skills, Experience and Knowledge required: Automotive technical knowledge and extensive experience of complex interactions, including technical analysis and decision-making. Demonstrated understanding automotive technology with an advanced level of technical depth into vehicle, system and component detailed design, development and delivery, ability to interrogate and ratify incoming technical standards, system and component assumptions. Excellent written and verbal technical communication, influencing and negotiation skills. Experience in leading teams of people to solve complex technical issues using a structured approach e.g 8D and/or Six Sigma. Project Management experience of delivery against a complex set of Programme technical deliverables. An individual with a customer first mindset who is easy to do business with and makes people feel special, driven to deliver experiences that are personalised, transparent and dependable. Progressive thinking individual who takes a keen interest in new ideas and key industry developments. Ability to embrace the Agile model and work effectively as a champion of Agile principles in practice. A resilient individual who has strong influencing and engagement skills, is comfortable challenging all stakeholders and can build credibility and trust through experience and personal style. An individual who can demonstrate exceptional capability in leadership and management skills, who can motivate, develop and lead cross-functional and functional teams. Key Interactions: PGL (Program Group Lead) for the given zone. PGL/TGL for interfacing zones. STGL & VEM. Engineering Delivery Director. Technology Center Leads. Architecture & Vehicle Programme Product Owners (POs). Lead Engineers. Engineering Delivery. Design. External supplier / partner specialist technical collaboration as required to develop complex strategic technical proposals. TPBN1_UKTJ

Branch Sales Manager Contract: Permanent, Fulltime Salary: Dependent on Experience Location: Croydon, Onsite A Branch Manager oversees the daily operations, sales performance, staff management, and overall profitability of your specific branch, ensuring alignment with company goals and customer satisfaction. Responsibilities: Branch Sales Manager Develop and implement sales strategies to achieve branch targets while identifying new business opportunities through market analysis. Lead and support the sales and property management teams, providing coaching, performance monitoring, and regular reviews. Build and maintain strong relationships with councils, stakeholders, and industry partners. Drive property lead generation and council onboarding, ensuring prompt follow-up on opportunities and adherence to SLA requirements. Ensure properties are leased, maintained, compliant with regulations, and meet required quality standards. Assess property proposals and manage risk, including rental pricing and compliance considerations. Handle escalated tenant, owner, or council concerns professionally and efficiently. Oversee budgeting, financial performance, KPI reporting, and commission calculations. Manage branch operations, including team scheduling, holidays, sickness, and overall productivity. Ensure accurate data management across internal systems, CRM platforms, and Apex within required timeframes. Maintain compliance with GDPR and property certification requirements (FRA, EICR, Gas Safety, EPC). Recruit, train, and develop a high-performing team while fostering a positive and motivated workplace culture. Conduct regular team meetings, performance reviews, and manage HR matters where required. Monitor property listings, availability reports, and ensure websites display accurate stock within company guidelines. Manage tenders, customer satisfaction monitoring, office organisation, and internal systems such as Trello and diaries. Health & Safety, First Aid, Fire Safety, Duty of care situations with LA's and the teams (lone worker) security correctly managed and documented Efficiency of on call person and related salary increase confirmations to Operations Manager at the same time as commissions signed off Oversee Serving Notice To Quit (when Councils cancel accommodation) Carrying out Eviction Appointments and instructing bailiffs when necessary Control of non-conformances, incidents, snags, and customer complaints Completing Change Request Log for changes to the business or processes About you: Branch Sales Manager A confident leader with experience managing and motivating sales or property teams. Target-driven with a strong commercial mindset and ability to achieve branch sales goals. Excellent relationship builder with strong communication and negotiation skills. Highly organised with the ability to manage multiple priorities and maintain accurate records. Comfortable handling escalated issues and resolving challenges professionally. Knowledge of property management, housing, or compliance requirements is advantageous. Proficient in CRM systems and property management software. Proactive, resilient, and able to thrive in a fast-paced environment. Why Join?: Sales Consultant Competitive salary Uncapped commission 25 days holiday + BH Supportive, high-energy team culture Clear career growth and development opportunities On-site parking Company pension Response Personnel, an independently owned company and experts in recruitment since 1997. Specialists in Permanent, Temporary and Contract recruitment within a number of niche divisions and industries, including: Commercial, Industrial and Engineering sectors. For information on other roles, we have available please call (phone number removed) for further details

Certain Advantage are recruiting on behalf of our Trading client for an AI Engineer on a contract basis for 6-12 months initially in London. This will require some onsite days in Central London during the week. We are seeking Engineers skilled in python with a strong focus on GenAI AI and LLMs to lead the integration of cutting-edge language technologies into real-world applications. If you’re someone passionate about building scalable, responsible, and high-impact GenAI solutions then this could be for you! We’re looking for Engineers offering competent core technical skills in Python Programming, Data Handling with NumPy, Pandas, SQL, and use of Git/GitHub for version control. Any experience with these GenAI Use Cases would be relevant and desirable; Chatbots, copilots, document summarisation, Q&A, content generation. To help make your application as relevant as possible, please ensure your CV demonstrates any prior experience you have relating to the below; System Integration & Deployment Model Deployment: Flask, FastAPI, MLflow Model Serving: Triton Inference Server, Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral APIs LLM Frameworks: LangChain, LlamaIndex – for building LLM-powered applications Vector Databases: FAISS, Weaviate, Pinecone, Qdrant (Nice-to-Have) Retrieval-Augmented Generation (RAG): Experience building hybrid systems combining LLMs with enterprise dataMLOps & Infrastructure MLOps: Model versioning, monitoring, logging Bias Detection & Mitigation Content Filtering & Moderation Explainability & Transparency LLM Safety & Guardrails: Hallucination mitigation, prompt validation, safety layers Azure Cloud Experience Collaboration & Delivery Cross-functional Collaboration: Working with software engineers, DevOps, and product teams Rapid Prototyping: Building and deploying MVPs Understanding of ML & LLM Techniques: To support integration, scaling, and responsible deployment Prompt Engineering: Designing and optimising prompts for LLMs across use cases Model Evaluation & Monitoring Evaluation Metrics: Perplexity, relevance, response quality, user satisfaction Monitoring in Production: Drift detection, performance degradation, logging outputs Evaluation Pipelines: Automating metric tracking via MLflow or custom dashboards A/B Testing: Experience evaluating GenAI features in production environments Does this sound like your next career move? Apply today! Working with Certain Advantage We go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to (url removed) and register for job alerts and career guidance tips

Are you an experienced Architect passionate about shaping how organisations deploy and scale AI? I'm supporting a leading business in the Insurance Sector as they build next-generation AI and integration capabilities across their enterprise. You'll work at the intersection of GenAI engineering, cloud architecture, and enterprise integration, helping define end-to-end solutions that are secure, resilient, and scalable. What you'll be doing Designing and deploying AI-enabled solutions across cloud environments. Leading on GenAI orchestration (LangChain, Autogen, Google ADK). Architecting RAG pipelines, vector database integrations, and prompt management strategies. Building guardrail frameworks to prevent hallucinations, injection and bias. Designing API-first and event-driven architectures. Influencing enterprise roadmaps, governance forums and technical standards. Partnering with senior engineers, value streams, and product stakeholders. What you'll bring Expertise in Azure AI, AWS Bedrock or Google Vertex. Strong experience with LLM evaluation/MES frameworks. Deep knowledge of integration security, API design and cloud-native patterns. Experience delivering solutions in regulated environments (desirable). Naturally proactive, consultative and comfortable influencing at senior levels. TPBN1_UKTJ