Trabajos machine learning en Reino Unido - Page 9

A Senior to Principal Electronic Design technical lead required to take ownership of the companies electronic engineering efforts, you will report directly to the CTO and be the sole internal hardware resource. Requirements Automotive industry experience across power supply design, test, compliance and technical requirements. Altium to design schematic, layout and BOM design and development. Electronics test house process, debugging, oscilloscope, soldering, hands on skills. Radio compliance, EMC, cellular etc. Strong degree in Electronics You will work on data acquisition devices that are deployed internationally on heavy vehicles and across construction supply chains providing valuable time series data fed into the cloud and processed by machine learning algorithms to drive quality and efficiency decisions. These devices are deployed internationally and include cellular, BLE, GPS and CAN technologies. You will run research projects leveraging custom designs, lead compliance testing and direct contracted Manufacturers on production. The role is hybrid and requires at least 2 days in the office per week

AI Platform Lead / Up to £90K + Approx. 29% Pension / London OR Newcastle / 2 Days in Office We are seeking an experienced AI Platform Lead to help design, build and operate secure AI development and production environments, supporting a growing portfolio of machine learning and generative AI solutions. This role combines hands-on engineering with technical leadership, including support for a small team of AI engineers. You will work across infrastructure, deployment, model integration and experimentation to deliver scalable, reliable and secure AI capabilities that improve efficiency, decision-making and service delivery. Key responsibilities Build, operate and maintain AI development and production environments using Azure services, including AI, ML and GenAI workloads. Design and manage CI/CD and MLOps pipelines to support model development, deployment, monitoring and lifecycle management. Provision and secure cloud environments using Infrastructure as Code, with a strong focus on automation, compliance and best practice. Develop and integrate AI applications and services, including classical ML, NLP, RAG and generative AI solutions. Support experimentation and proof-of-concept work through secure AI sandboxes and evaluation of emerging tools and platforms. Monitor, optimise and retrain models in production, ensuring strong performance, reliability, safety and cost effectiveness. Apply cloud security, identity and access controls, data governance and Responsible AI principles across all solutions. Provide technical leadership, mentoring and workload coordination for a small team of AI engineers. Produce clear documentation covering architecture, workflows, data flows and operational procedures. What we are looking for Proven experience building and deploying AI/ML solutions in production. Strong background in AI infrastructure, cloud platforms, CI/CD, containerisation and MLOps. Hands-on experience with Azure and related services. Ability to work with data scientists, engineers and business stakeholders. Experience leading or mentoring technical team members. Strong understanding of Responsible AI, data privacy and ethical considerations. Location: Hybrid, with regular attendance required at an office in London or Newcastle. If you are interested in the role, then please apply or reach out

Electronics design engineer Role – Remote - £50 - £60k Hexwired have partnered with a cutting edge marine technology company, now seeking an electronics design engineer to join their growing engineering team. The company is expanding due to the needs of its clients and are seeking an electronics design engineer ideally with 3 years electronics design experience and good experience designing and testing mixed signal products. This is an electronics design role mainly focussed on Developing and enhancing electronic ruggedised electronic products. Key skills: * Degree in electronics engineering or equivalent * Minimum of 3 years hands on electronics design experience * Digital data acquisition systems and DSP techniques * Design and testing mixed signal products that include SOC, FPGA’s, control & logic systems * C/C++, VHDL and associated tools such as GIT The company are looking to offer £50k - £60K DOE alongside a comprehensive benefits package. If you’re interested in this electronics design engineer role, Please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today

Enterprise Account Executive - London High-Growth, Mission-Led EdTech Unicorn An industry-defining organisation at the forefront of AI-driven workforce upskilling is scaling its commercial team and searching for exceptional Enterprise Account Executives to join them on their next stage of hypergrowth. This company has partnered with 1,500+ global employers to deliver a new category of learning that empowers people at any age or stage to build critical AI, data and tech capabilities. Their programmes have already delivered over $2bn+ in measurable ROI for clients, fundamentally transforming workforce productivity during the AI era. Recognised as the UK's first EdTech unicorn after a $220m Series D at a $1.7bn valuation, they now employ more than 800 people and continue to expand aggressively across enterprise markets. Their mission: build a world where tech skills unlock human potential. The Role This is a unique opportunity to join a world-class sales organisation scaling rapidly across the UK enterprise sector. You'll be selling a high-impact solution that directly addresses business challenges around digital transformation, productivity, workforce capability and diversity. You will: Master a proven, best-in-class GTM playbook supported by elite sales training, methodology and coaching Use MEDDIC rigorously to qualify, grow and close complex opportunities Drive new business across strategic enterprise accounts, engaging senior stakeholders from C-suite to functional leadership Uncover client challenges around AI adoption, skills gaps and capacity, positioning the platform as a transformational solution Partner with Business Value Consultants to build ROI cases that demonstrate measurable business impact Land new logos, expand accounts and build your own long-term strategic book of business What They're Looking For This environment is high-intensity, high-performance and high-reward. Think elite sales culture, where resilient, hungry, intelligent people thrive. You'll excel here if you are: A proven enterprise seller (2+ years closing experience) Skilled at owning complex sales cycles with multiple stakeholders Relentless about pipeline generation - a true PG machine Intelligent, coachable and commercially sharp Highly likeable - someone people genuinely want to buy from Resilient under pressure and motivated by high expectations Someone with grit, drive and the ability to sell, sell, sell Expect to work incredibly hard in the first 6-12 months, be be ready to build pipeline from scratch, but the long-term rewards are huge. Their reps have the opportunity to become world-class sellers within six months, equipped with an elite tech stack. Training & Tech Stack You'll have access to a market-leading suite of sales tools and enablement, including: Full sales training, methodology and playbook Gong - conversation intelligence LinkedIn Sales Navigator Cognism - lead generation Lusha - advanced prospecting Salary & Earning Potential Enterprise AE: £110k base + double OTE Mid-Market AE: £75k base + double OTE Top performers regularly exceed targets - many clear £250k

Job Title: Solutions Architect (AI and Automation) Location: Remote (occasional travel to London required) Salary: £75,000 - £85,000 (Depending on location) Would you like to work for an organisation plays a pivotal role in safeguarding and improving the quality of health and social care services across England. My client plays a vital role in improving outcomes across health and social care by using data, technology, and insight to drive meaningful change. With a strong focus on innovation and digital transformation, they are investing in modern cloud platforms, artificial intelligence, and advanced analytics to become a truly intelligence-led regulator. Solutions Architect Responsibilities Design scalable, secure, and ethical AI and data solutions using Microsoft Azure technologies. Translate business requirements into end-to-end solution architecture across AI, machine learning, and data platforms. Maintain architectural blueprints ensuring interoperability, resilience, governance, and regulatory compliance. Lead architecture design reviews and provide technical leadership to delivery teams using Agile, DevOps, and CI/CD practices. Mentor technical teams and promote responsible AI practices, including transparency, fairness, and security. Solutions Architect Requirements Extensive experience delivering solutions on the Microsoft Azure Data Platform (Synapse Analytics, Data Lake, Databricks, Azure ML, Power BI). Expertise in modern data engineering approaches such as ETL/ELT pipelines, streaming, APIs, and event-driven architecture. Experience with cloud-native architectures, microservices, and SaaS integrations. Knowledge of data governance, information security, and AI ethics within regulated industries. Excellent stakeholder engagement and leadership skills. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. TPBN1_UKTJ

Machine Learning Engineer - £110k – £130k – Geospatial Tech 4 Good Machine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit‑learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech | Do you want to work with a business building AI‑native data system that bring clarity and credibility to nature‑based assets? A business tackling complex, real‑world environmental challenges, helping organisations make high‑impact decisions around risk, resilience and commercial performance? This is the chance to join as a Machine Learning Engineer working with a climate‑tech scale‑up applying cutting‑edge Machine Learning to satellite data, weather models and environmental signals, reshaping how nature is valued in real‑world decision‑making. Joining their AI team, you’ll design and deploy models that forecast climate volatility, detect vegetation stress, and generate risk‑driven insights from remote sensing and time‑series data. You’ll work across AI, climate science, geospatial modelling and scalable pipelines, contributing meaningfully from day one. What you’ll be working on: • Building and evaluating Machine Learning/DL models for satellite, weather and climate data • Forecasting environmental and risk‑related signals (volatility, vegetation stress, land‑surface change) • Developing geospatial and remote‑sensing models (Sentinel‑1/2, GEDI, optical, radar, LiDAR) • Creating time‑series and forecasting models for environmental change • Translating business questions into robust modelling problems • Turning research prototypes into scalable, reproducible AI pipelines • Communicating assumptions, uncertainty and results clearly The must‑haves: • Strong background in Machine Learning, DL and Applied Statistics • Time‑series modelling + backtesting • Experience with geospatial and climate datasets • Python stack: PyTorch, scikit‑learn, scipy • Reproducible workflows (Git, AWS/cloud, W&B) Nice‑to‑haves: • Risk modelling, financial time series, portfolio optimisation (great for FinTech/quant backgrounds) • Climate/weather datasets (CMIP, forecast data) • Geospatial tools: rasterio, xarray, geopandas, GDAL • Remote sensing (optical, radar, LiDAR) • MLOps: CI/CD, containerisation, monitoring • Startup or fast‑paced product environment The role offers £110k–£130k, a global team environment, and the chance to shape the future of AI‑powered environmental and risk intelligence. If it ticks those boxes, don’t hang about message me: (url removed) Machine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit‑learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech

AI Architect Financial Services | London | Hybrid At Datatech Analytics, we're delighted to partner with a global consulting organisation expanding its AI and Data capability within Financial Services. The firm works with major banks, insurers and capital markets institutions to design and deploy enterprise AI platforms, helping organisations transform how data and AI drive decision making across the business. As demand for AI transformation programmes continues to grow, the business is looking to hire an AI Architect to help shape and deliver complex AI platforms for large financial institutions. The role You will design and architect enterprise AI platforms, translating complex business challenges into scalable AI and data solutions. Working closely with engineering teams and senior stakeholders, you'll help organisations move from experimentation with AI to production-ready AI systems embedded within core business platforms. What you'll be doing Defining enterprise AI architecture strategies for financial services clients. Designing scalable AI platforms and ML infrastructure integrated with enterprise data systems. Architecting end-to-end AI pipelines, from data ingestion through to model deployment. Leading engineering teams across AI, machine learning and data engineering. Engaging senior stakeholders to shape AI transformation programmes and technical strategy. Technology environment Typical platforms and technologies include: Cloud platforms such as AWS, Azure or Google Cloud Data platforms including Databricks, Snowflake or BigQuery Python and modern ML frameworks Generative AI, LLM integration and RAG pipelines MLOps tooling and modern ML lifecycle management. The profile Experience designing enterprise AI or data platforms in complex technology environments. A background delivering large-scale transformation programmes, often within consulting or advisory environments. Strong technical leadership combined with the ability to engage senior stakeholders across business and technology teams. Experience working within Financial Services environments is highly valued. If you'd like to learn more about the opportunity, feel free to reach out for a confidential conversation.APPLY NOW Datatech Analytics #AI #AIArchitecture #FinancialServices #DataPlatforms #MachineLearning #DatatechAnalytics

A high-growth institutional trading business in the digital assets market is expanding its London team and hiring a Quant Developer to join its OTC pricing function. This is a great opportunity to join a successful firm adding headcount as it continues to grow, and to work on highly visible quantitative systems that sit at the core of pricing, hedging and liquidity decisions. The role offers a rare blend of quantitative research partnership and hands-on production engineering, making it ideal for someone who enjoys solving real market problems in a fast-paced trading environment. THE ROLE: Quant Developer – OTC Pricing This is a senior-level quant development role within the OTC pricing team, focused on turning quantitative ideas into robust, production-grade trading and pricing solutions. The successful candidate will work very closely with quantitative researchers, contributing not only to implementation but also to the design and refinement of pricing and liquidity models. The role combines research-oriented modelling in Python with production engineering in Java. You will use Python to analyse data, test ideas and support model development, while using Java to build and enhance high-performance pricing infrastructure used in a live, global trading environment. You will be involved in the development of pricing logic, flow analysis, spread optimisation and automated hedging tools. The role also includes working on distributed systems challenges in a 24/7 multi-region environment, where reliability, consistency and performance are critical. This is a high-impact position for someone who enjoys applying quantitative thinking to real trading and pricing problems at scale. KEY RESPONSIBILITIES: Quant Developer – OTC Pricing * Build and enhance quantitative pricing, hedging and optimisation models within a high-performance Java framework * Work alongside quantitative researchers to analyse large datasets and translate research into production-ready solutions * Use Python for model prototyping, data analysis, signal investigation and backtesting activity * Develop and improve pricing skew, spread and liquidity optimisation logic * Design and implement automated hedging strategies, taking into account execution risk, liquidity and market impact * Support pricing system deployment across distributed, multi-region architecture with a focus on uptime and consistency * Analyse client trading behaviour, including flow quality, decay and pricing performance, to support more effective pricing decisions * Contribute to the ongoing evolution of tools and systems used in a live institutional trading environment REQUIRED - SKILLS/EXPERIENCE: Quant Developer – OTC Pricing * Strong Java development experience, ideally 5+ years * Deep understanding of object-oriented design, concurrency, and high-performance distributed systems * Proficient in Python; Including use of libraries such as NumPy, SciPy and Pandas for quantitative analysis and prototyping * Proven experience applying numerical optimisation techniques and/or machine learning methods to pricing, trading or market-related problems * Prior experience in client pricing, electronic trading, or a closely related quantitative trading environment * Exposure to liquid markets such as FX, equities, ETFs or crypto * Strong academic background in a quantitative discipline such as Mathematics, Physics or Quantitative Finance * Ability to operate effectively in a role that bridges quantitative modelling and production engineering DESIRABLE - SKILLS/EXPERIENCE: Quant Developer – OTC Pricing * Familiarity with low-latency system optimisation, such as GC tuning or tools/frameworks used in high-performance messaging environments * Understanding of derivatives pricing and risk management, particularly across products such as futures, forwards, NDFs and CFDs * KDB+/Q * Exposure to AWS, Docker and Kubernetes

Company description Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world, access to the very best data, content, and insights. In turn, improving how sports fans interact with their favorite sports teams and competitions. How do we add value? Media outlets add a little magic to their coverage with our stats and graphics packages. Sportsbooks can offer better predictions and more accurate odds. The world's top coaches are known to use our data to make critical team decisions. Sports commentators can engage with fans on a deeper level, using our stories and insights. Anywhere you find sport, Stats Perform is there. However, data and tech are only half of the package. We need great people to fuel the engine. We succeeded thanks to a team of amazing people. They spend their days collecting, analyzing, and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wizardry, and a host of 'behind the scenes' support staff, you've got all the ingredients to make it a magical experience! Job description Role Summary : We are seeking a detail-oriented and analytical FP&A Analyst to support our financial planning, reporting, and business partnering activities. Reporting to the Senior FP&A Manager, this position will be responsible for owning non-compensation expense analysis and reporting, while serving as a key finance partner to our internal support functions including Finance, HR, Facilities, Legal, Integrity, and Content teams. The Senior FP&A Analyst will play a critical role in the monthly close process, budget preparation, and operational financial analysis. This role provides consultation to revenue-generating business units and supports advanced modelling initiatives. This position is ideal for a finance professional looking to deepen their FP&A expertise while building strong cross-functional partnerships across the organization. Responsibilities: Financial Reporting & Analysis Own monthly P&L reporting for non-compensation expenses , ensuring accuracy, completeness, and timely delivery Support monthly financial close activities and variance analysis across all expense categories Prepare detailed expense analysis and commentary for management reporting packages Monitor expense trends and proactively identify cost-saving opportunities or budget risks Assist with ad-hoc financial analysis and reporting requests Budgeting & Forecasting Support the annual budgeting process for non-compensation expenses , partnering with budget owners across the organization Support quarterly forecast updates for expense categories, ensuring alignment with business activities and strategic priorities Develop and maintain budget tracking tools and documentation Ensure budget assumptions are well-supported, defensible, and properly documented Business Partnering - Internal Functions Serve as the primary FP&A partner for Finance, HR, Facilities, Legal, Integrity, and Content teams Build strong relationships with budget owners and department heads across internal support functions Provide financial insights, budget tracking, and decision support to partnered functions Translate departmental needs into financial requirements and communicate financial constraints clearly Participate in business planning discussions and provide financially sound recommendations Support business case development and ROI analysis for internal initiatives Required profile Essential Experience 3-5+ years of progressive finance experience, with exposure to FP&A, financial reporting, or management accounting Part-Qualified (preferably CIMA) contemplated Demonstrated experience managing expense budgets and reporting processes Strong analytical skills with ability to investigate variances and identify root causes Experience partnering with non-finance stakeholders and translating financial concepts for diverse audiences Proven ability to manage multiple priorities and deliver high-quality work under deadlines Background in media, sports, technology, or professional services environment is advantageous Skills & Attributes Strong financial analysis and modelling skills with advanced Excel proficiency Detail-oriented with excellent organizational skills and high degree of accuracy Solid understanding of P&L statements, expense accounting, and budgeting processes Strong communication skillsable to explain financial information clearly to non-finance partners Proactive and solutions-oriented mindset with ability to work independently Collaborative working style with ability to build effective relationships across functions Intellectually curious with desire to understand business operations and commercial drivers Comfortable working in a fast-paced, dynamic environment Professional maturity and sound business judgment What we offer Why work at Stats Perform? We love sports, but we love diverse thinking more! We know that diversity brings creativity, so we invite people from all backgrounds to join us. At Stats Perform you can make a difference, by using your skills and experience every day, you'll feel valued and respected for your contribution. We take care of our colleagues We like happy and healthy colleagues. You will benefit from things like Mental Health Days Off, No Meeting Fridays, and flexible working schedules. We pull together to build a better workplace and world for all. We encourage employees to take part in charitable activities, utilize their 2 days of Volunteering Time Off, support our environmental efforts, and be actively involved in Employee Resource Groups. Diversity, Equity, and Inclusion at Stats Perform By joining Stats Perform, you'll be part of a team that celebrates diversity. A team that is dedicated to creating an inclusive atmosphere where everyone feels valued and welcome. All employees are collectively responsible for developing and maintaining an inclusive environment. That is why our Diversity, Equity, and Inclusion goals underpin our core values. With increased diversity comes increased innovation and creativity. Ensuring we're best placed to serve our clients and communities. Stats Perform is committed to seeking diversity, equity, and inclusion in all we do. TPBN1_UKTJ

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply

Senior Software Engineer – Python/C++ - London Inside IR35 - £650 - £900 a day – April Start Hexwired Recruitment has recently partnered with a highly successful solutions provider based in London now seeking Several Senior Software engineers with experience using C++ and/or Python for Digital Transformation projects. This is a government level project, will last at least a year and you will be working in the national security space. Due to the nature of the role, the work is in onsite in London. Candidate must already have Active DV clearance. Key Skills • Degree in CS, Maths, Physics or similar, • 5+ years C++ or Python experience, • Previous experience working on Digital Transformation projects, • Experience working to CI/CD processes, • Previous experience working on Defence, NI and Government projects, • Active DV clearance is essential Inside IR35, flexible on rate and looking for starters in April. If you’re interested, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Palantir, FPGA, Electronics, Machine Learning, Data Science or Simulation contact us today

AI Engineer Placement Programme- 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? Their AI Placement Programme 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. Candidates earn £28,000-£45,000. 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. They Get You Hired They 're not new to this. The company has 15+ years of experience and has placed over 5,000 people into new roles. Their job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. They don't believe in empty promises. Complete their 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, they'll help you turn that into a career you can be proud of. Apply now, and one of thier expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

We are hiring a Senior Artificial Intelligence (AI) Governance Specialist /Lead, London-hybrid for 6 months initially. MARKET RATE Inside IR35 Essential Experience applying AI governance, model risk or responsible AI controls within technology or data-driven programmes. Experience operating within regulated or compliance-sensitive environments. Working knowledge of machine learning pipelines, data governance practices and model monitoring concepts. Experience translating regulatory, policy or risk requirements into practical controls within AI or digital solutions. Ability to engage and influence technical and non-technical stakeholders within cross-functional delivery teams. Desirable Experience developing governance frameworks for emerging technologies such as advanced machine learning or agentic automation systems. Experience operating within multi-supplier or multi-organisation delivery environments. Familiarity with rail industry risk, assurance or safety governance processes. Exposure to model monitoring, lifecycle management or Machine Learning Operations practices Responsible AI governance across the by defining and embedding risk management, assurance and compliance controls to support the safe, ethical and regulatory-aligned deployment of AI and automation solutions. Define and embed AI governance principles, risk controls and assurance frameworks across the programme to support consistent and responsible AI deployment Review and challenge AI and automation solutions against regulatory expectations, including data privacy, security, explainability, bias mitigation and safe operation Identify, assess and manage risks specific to AI systems, including model reliability, agentic behaviour constraints, data usage and ethical considerations. Direct the development and maintenance of comprehensive governance artefacts including model risk assessments, data handling controls, audit mechanisms, monitoring frameworks and exception management processes. Shape governance approaches for machine learning and agentic automation systems to support responsible experimentation and controlled deployment. Work in close partnership and collaborate with the AI Solutions Architect, Data Scientists and Engineers to embed governance controls throughout the solution lifecycle. Translate policy, regulatory and risk requirements into practical technical controls and guardrails within AI solution designs. Define and oversee performance metrics, key risk indicators and monitoring approaches to identify model drift, governance breaches and emerging risk patterns

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI success Step 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. At a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps. ‘Please note that this is a training course and fees apply

Senior Safety Engineer - Autonomous & AI Systems Location: London (Hybrid - 3 days in office) Employment Type: Permanent, Full Time About the Company I'm working with a rapidly growing technology start-up developing safety solutions for autonomous and AI-driven systems. Their platform provides a critical "trust layer" that ensures autonomous platforms operate safely, predictably, and in compliance with regulatory frameworks across sectors including aerospace, robotics, and advanced mobility. With multiple projects secured and increasing demand, the company is expanding its engineering team and looking for talented engineers who want to work on real-world safety challenges in next-generation autonomous systems. This is an opportunity to join a fast-moving environment where your work will directly contribute to the safe deployment of advanced technologies. The Role As a Senior Safety Engineer, you will support the development and assurance of safety-critical systems used in autonomous and AI-enabled platforms. Working closely with systems, software, and machine learning teams, you will help integrate safety principles throughout the development lifecycle and contribute to the creation of robust safety cases and certification evidence. This role is ideal for someone who enjoys hands-on safety engineering work and wants to develop their expertise in emerging autonomous and AI safety frameworks within a growing technology company. Key Responsibilities Conduct safety analyses including HAZOP, FHA, FTA and FMECA for autonomous systems and components. * Support the development of safety requirements and safety cases for safety-critical systems. * Contribute to safety architectures and hazard mitigation strategies. * Assist in ensuring compliance with safety standards such as DO-178C, DO-254, ISO 26262, and IEC 61508. * Work closely with systems, software, hardware and ML teams to embed safety considerations throughout development. * Support safety reviews, internal audits, and certification activities. * Contribute to improving safety processes, tools and documentation as the company grows.Candidate Profile Degree in Systems Engineering, Safety Engineering, Aerospace Engineering, or a related discipline. * Experience working on safety-critical systems in industries such as aerospace, robotics, automotive, defence, or advanced mobility. * Practical experience performing safety analysis techniques such as FHA, FTA, HAZOP or FMEA/FMECA. * Familiarity with safety standards including DO-178C, DO-254, ISO 26262 or IEC 61508. * Understanding of safety considerations in autonomous or AI-enabled systems is advantageous. * Strong analytical and problem-solving skills. * Comfortable working in a collaborative, fast-paced engineering environment. * Strong communication skills and ability to work with multidisciplinary teams.Why Join? Work on Exciting Technology Contribute to the safety of next-generation autonomous and AI systems. Impact in a Growing Company Join a rapidly scaling start-up where your work will have real visibility and impact. Collaborative Engineering Culture Work alongside passionate engineers solving complex technical challenges. Hybrid Working 3 days per week in the London office. Competitive Benefits Salary sacrifice pension scheme, EV car scheme, cycle-to-work scheme and more.If you're interested in working on safety-critical autonomous systems in an innovative environment, I'd love to hear from you. Contact Coral at DCS Engineering: DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality

Product Specialist – Graduates Considered A brilliant opportunity for a talented Graduate to work as a Product Specialist, joining a market-leading disruptive software technology firm in London. Offering excellent training, career progression and prospects, this is a unique opportunity to work for a rapidly expanding machine learning software house. This is an ideal time to join this growing organisation and be guided by some of the brightest minds in this field. Daily, you will be working closely with the sales team to deliver Proof of Concepts and assist with live customer projects for a machine learning platform. Location: Central London - 3 days in office / 2 days remote Salary: Competitive + bonus + healthcare, pension, etc. Requirements for Product Specialist: A minimum of a 2.1 bachelor's from an internationally renowned University in a STEM or law-related discipline At least ABB at A-Level or equivalent UCAS points (please ensure A-Level grades are included on your CV) Basic scripting knowledge in Python or Bash Excellent customer-facing skills You have a sales spark - while this role isn't a focused sales role, this is required due to the nature of the role A motivated self-starter with a problem-solving attitude Strong aptitude for picking up technologies Ability to work with autonomy and as part of a team Great communication skills with fluent spoken and written English Fluency in Spanish or French (Business level) would be advantageous Responsibilities for Product Specialist: You will be the main point of contact and liaise with clients, internal teams (predominantly the tech team) Manage live customer projects from planning to final review Provide customer training to new and existing customers Deliver workflow advice to customers using the product Identify significant new projects Basic troubleshooting and escalation of issues to the tech team Gain an in-depth understanding of the company’s technology so you can advise customers on how to import/export data Provide updates to the management team on accounts What this offers: Working for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates An exciting opportunity supporting projects on a machine learning platform A good remuneration and benefits package Applications: If you are bilingual, have top academics and would like to apply, we would love to hear from you. Please ensure that when applying, you include your degree classification/GPA and your A Level grades (or UCAS equivalent) on your CV. Please send an up-to-date CV via the relevant link. We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing (if this email address has been removed by the job board, full details for contact are available on our website). Keywords: Entry-Level / Trainee / Graduate / Technology Solutions Specialist / AI Product Expert / Customer Success Specialist / Product Relationship Manager / Technical Sales Consultant / Product Advocate / Client Solutions Specialist / Technology Integration Specialist / Customer Engagement Specialist / Solution Architect / Software Engineer / Product Consultant / Customer Experience Manager / Technology Specialist / Product Liaison Officer / Sales Support Specialist / Implementation Consultant / Customer Technology Advisor / Python / Bash

Principal Engineer, Data Platforms Ready for a challenge? Then Just Eat Takeaway.com might be the place for you. We're a leading global online delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe. About this role We are seeking a highly accomplished and visionary Principal Engineer to join our Data Platforms leadership team. You will serve as the top technical authority, reporting directly to the Director of Engineering, and closely pairing with the Head of Engineering. This role defines the technical strategy and architecture that enables our organisation of 50+ engineers to build and operate robust, scalable, and high-performance data systems. We value your ability to lead on strategy, deliver technical excellence, and care for the continuous growth of our engineering team. Location: Hybrid - 3 days a week from our London or Amsterdam office & 2 days working from home Reporting to: Director of Engineering These are some of the key components to the position: Define the long-term technical vision and roadmap for our modern Data Platform, Mobius (including Data Warehousing, Data Lake, Streaming, and Governance tooling). Design and govern the reference architecture for core data infrastructure, ensuring optimal scalability, reliability, and security. Act as a hands-on contributor, tackling the most complex technical challenges and providing code-level guidance for critical components. Establish and enforce technical standards for code quality, observability, and Infrastructure-as-Code (IaC) across all data platform teams. Act as a technical mentor and coach for Senior and Staff Engineers, raising the technical bar across the organisation. Focus on platform engineering principles to improve the developer experience, velocity, and efficiency of all data engineering teams. Lead the evaluation, prototyping, and adoption of new data technologies, balancing industry best practices with business needs. What will you bring to the team? Extensive experience in software and data engineering, with provable experience operating at a Principal, Staff, or equivalent level. Deep proficiency across the modern data stack (Snowflake, BigQuery, Delta Lake, Iceberg, Kafka, Flink). Proven track record designing scalable, self-service data platforms using cloud-native services (AWS/GCP) and infrastructure automation (Terraform, Ansible). Expert proficiency in Python, Scala, or Go, and extensive experience with data transformation frameworks (Airflow, dbt). Exceptional ability to synthesise complex requirements into simple, elegant, and maintainable architectural designs. Strong communication skills with the ability to influence and align engineering, product, and executive stakeholders. Results-driven mindset with the ability to execute quickly, adapt to change, and thrive in high-growth, fast-paced environments. Desired Skills Experience in a rapidly scaling organisation focused on building distributed systems. Familiarity with data governance, lineage, and observability tools (e.g., Datadog, Prometheus, Open Telemetry). Strong understanding of Machine Learning Operations (MLOps) and how data platforms support the full ML lifecycle. At JET, this is on the menu: Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else is cooking? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. Are you ready to take your seat? Apply now! #LI-ER1

Capacity Planning Data Scientist Location: Middlesex (3 days onsite, 2 days from home) Salary: Negotiable depending on experience Job Ref: J13078 A market leading global logistics organisation is seeking a highly motivated Airline Capacity Planning Data Scientist who wants to apply their work in a real, high impact environment. Your work will directly influence how capacity is planned, optimised, and delivered within a complex, high volume operational setting. This role sits at the intersection of data science and operations research, with a strong focus on simulation, modelling, and real world system optimisation. You will work with large scale datasets to build machine learning models and develop advanced simulation tools that support critical planning decisions. The role: ·Design and build machine learning models to forecast demand, utilisation and system performance ·Work with large scale, time series datasets to engineer features and improve model accuracy ·Apply robust validation, tuning and model selection techniques to deliver reliable outputs ·Build and calibrate discrete event simulation (DES) models of complex operational systems to stress test capacity under different demand scenarios ·Carry out scenario analysis and what if modelling to support planning and investment decisions ·Translate complex analytical outputs into clear, actionable insights for operational stakeholders ·Develop tools and dashboards to monitor system performance and support decision making ·Work closely with operational teams to ensure models reflect real world constraints and behaviours Experience required: ·Master's degree (or equivalent) in Data Science, Statistics, Operations Research, Computer Science, Mathematics, or a closely related quantitative discipline ·Strong experience in a Data Scientist or Operational Research focused role working with large, complex datasets ·Solid understanding of machine learning techniques such as gradient boosting, random forests and time series modelling ·Experience building and deploying models used in real world decision making (e.g. ensemble methods, regularised regression) ·Advanced proficiency in R, including tidyverse, data.table, caret or tidymodels, xgboost and Shiny ·Strong SQL skills with experience querying large scale relational databases such as Azure SQL or PostgreSQL ·Experience working with high volume or time based data, including feature engineering ·Experience with simulation, discrete event simulation, or operations research techniques is highly desirable ·Ability to communicate complex analysis clearly to non-technical stakeholders ·Comfortable working in fast paced, operational environments ·Proactive, hands on approach with the ability to take ownership of problems end to end If you want to work on complex systems where your output is actually used and matters, this is a genuinely strong opportunity to do that. Please note we can only accept applications from those with current and full UK working rights for this role, as sponsorship is not available. If this sounds like the role for you then please apply today. Alternatively, you can refer a friend or colleague through our referral scheme. For each successful placement, you will be eligible for our reward scheme with no limit on referrals. Datatech is one of the UK's leading recruitment agencies in analytics and the host of the Women in Data event. For more information, visit (url removed) <(url removed)

Founding AI Engineer / Technical CTO AI / Machine Learning / Backend Engineering £90,000–£100,000 + Equity London – Hybrid OR Remote Working within UK I'm currently working with an early-stage, well-funded tech startup who are looking for a Founding AI Engineer/CTO to join their growing team in London. They are building a next-generation used across various social media and events platforms. With a strong product vision and MVP already in place, they are now looking for their first senior technical hire to shape the future of the platform. In this role, you will take ownership of the core technology across a wide range of areas - focusing on developing and enhancing the platform, building and scaling AI-driven matching systems, improving data-driven feedback loops and designing a robust, privacy-first architecture. You’ll work closely with the founders to define the technical direction and will play a key role in building out the engineering team as the company grows across 2026. The role is based in London and although their preference would be once a week in the office, they can offer fully remote within the UK. Key Responsibilities Design and build AI/ML-powered matching or recommendation systems Develop scalable backend systems in Express Work in full stack environment using Typescript & Nextjs Confident working on Cloud technologies preferably GCP Create and optimise feedback loops to continuously improve platform outcomes Ensure high standards of performance, reliability, and data security Contribute to technical strategy and architecture decisions Support the transition from individual contributor to team leadership as the company scales Collaborate closely with product and leadership teams to shape the roadmap Required Skills & Experience Strong experience building and deploying production AI/ML systems Solid backend or full-stack engineering experience using Nextjs, Typescript, Express Strong understanding of system design, scalability, and performance optimisation Experience leading projects or teams, or readiness to step into a leadership role Experience working on high-impact, user-facing products Desirable Experience within consumer platforms such as social media or events Exposure to behavioural data, user modelling, or network-based systems Background in early-stage startups or building products from zero to one Familiarity with privacy-first design and secure data architectures Salary: £90,000–£100,000 + Equity Benefits: Equity, Pension, Flexible Working If this role sounds of interest, then please apply and I can give you a call. Tim Stock (url removed) (phone number removed) / (phone number removed)

Forward Deployed Engineer Generative AI / LLM Deployment GenAI | LangChain | RAG | AWS | Kubernetes | Customer-Facing We are hiring a Forward Deployed Engineer to lead the deployment of production-grade Generative AI and LLM solutions into enterprise environments. This is a hands-on, customer-facing role focused on building and deploying RAG pipelines, multi-agent systems and fine-tuned LLM applications using tools such as LangChain and LangGraph. You will embed with client teams, own technical delivery from prototype to production, and demonstrate measurable KPI impact. Key Responsibilities Design and deploy GenAI / LLM applications (RAG, agentic AI, fine-tuning) Lead production deployment on AWS, Azure or GCP Build scalable backend systems in Python (JavaScript a plus) Manage infrastructure using Kubernetes, Docker, Terraform Own end-to-end technical delivery across multiple client deployments Conduct debugging, optimisation and root cause analysis Communicate complex AI concepts to technical and non-technical stakeholders Requirements Strong experience building and deploying LLM / Generative AI solutions Hands-on with LangChain, RAG, multi-agent systems Cloud ML deployment experience (AWS, Azure or GCP) DevOps tooling: Kubernetes, CI/CD, GitHub, GitOps Customer-facing technical delivery experience Background in Machine Learning, Data Science or AI Engineering This role suits a Senior Machine Learning Engineer, Applied AI Engineer, AI Solutions Engineer or LLM Engineer who enjoys client impact, rapid prototyping and owning delivery in fast-moving environments. Apply now to work at the forefront of enterprise AI deployment and agentic systems TPBN1_UKTJ

This job is with State Street, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Who we are looking for The Product Lead is a critical leader within the State Street Alpha business unit, driving the strategy, development, and delivery of OTC derivatives and other complex financial instruments. This role ensures that products align with client needs, regulatory requirements, and the overarching vision of State Street Alpha to deliver front-to-back integrated solutions.. Why this role is important to us The team you will be joining plays an important role in the overall success of the organization. Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. To make that happen we need teams like yours to help navigate employees and the organization as a whole. In your role you will strive for cutting-edge solutions, that are straightforward and scalable. You will help us build resilience and execute day to day deliverables at our best. Join us if making your mark in the financial services industry from day one is a challenge you are up for. What you will be responsible for : Strategic Leadership and Market Insights Conduct market intelligence, competitive analysis, and industry trend research specific to OTC derivatives and complex instruments to identify opportunities for innovation and differentiation. Lead client discovery sessions to deeply understand operational challenges, regulatory demands, and market needs across buy-side and sell-side participants. Develop and maintain a multi-year strategic roadmap for OTC derivatives and complex instrument product lines, ensuring alignment with client needs, evolving regulations, and State Street Alpha's strategic vision. Product Development and Delivery Oversee the end-to-end product lifecycle, from ideation and business case development to design, implementation, and delivery. Build robust business cases with quantifiable outputs, ensuring a clear ROI and alignment with the business strategy. Conduct detailed impact assessments of the product line across State Street Alpha's e2e systems, ensuring solutions enhance operational efficiencies, mitigate risk, and improve system resilience. Embed Agile Practices into product development cycles: Participate in and lead daily standups, retrospectives, and sprint planning sessions to ensure clear progress and resolve blockers. Collaborate with Agile Scrum Masters in IT to drive seamless communication between business and technology teams. Incorporate client feedback iteratively by involving clients in regular demo sessions and milestone reviews, ensuring products meet user expectations. Partner with the architecture team to ensure that products are developed in line with modern design principles, supporting scalability and system integration across Alpha's platforms. Collaborate with the development teams to oversee execution, ensuring that timelines, budgets, and quality standards are met. Client Implementation and Standardization Manage the product line's involvement in client implementations, ensuring seamless delivery and adherence to client-specific requirements for OTC derivatives and complex instruments. Actively contribute to Alpha's Guilds, including financial product-focused groups and client implementation teams, to share knowledge and foster best practices across implementations. Use cross-client interactions to establish standards and frameworks that promote consistency in processes, reporting, and product delivery across Alpha's client base . Operational and Technical Oversight Drive initiatives to improve system redundancies and operational efficiencies within OTC derivatives workflows, ensuring products are robust and future-proof. Stay ahead of regulatory changes affecting OTC derivatives (e.g., uncleared margin rules, clearing mandates) and ensure compliance is embedded in product features and delivery models. Integrate new technologies like automation, AI, and distributed ledger technology (DLT) where appropriate to enhance operational workflows for complex instruments. Collaboration and Leadership Work closely with cross-functional teams, including engineering, client success, sales, and operations, to ensure cohesive product delivery. Represent the product team in executive-level discussions, ensuring alignment with State Street Alpha's strategic goals and providing input on the broader product portfolio. Act as a thought leader within the organization, sharing expertise on OTC derivatives and complex instruments and mentoring junior team members. What we value These skills will help you succeed in this role Extensive knowledge of OTC derivatives, structured products , and other complex financial instruments. Proven experience in product management , including strategy development, product delivery, and client implementations. Strong understanding of front-to-back trade lifecycle management , financial systems architecture, and operational workflows. Expertise in global regulatory frameworks affecting financial instruments, such as UMR, EMIR, and Dodd-Frank. Proficiency in Agile methodologies and tools, with a track record of leading iterative development cycles. Exceptional communication and stakeholder management skills, with the ability to build relationships across diverse teams and senior leadership. Education & Preferred Qualifications Experience with data analytics tools (e.g., SQL, Tableau, Python) to derive insights and support decision-making. Familiarity with emerging technologies like AI, machine learning, and DLT within financial services. Prior experience working within a financial services technology platform or a similar business unit. CFA, MBA, or Masters preferred About State Street What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary in locations, but you may expect generous medical care, insurance and savings plans among other perks. You'll have access to flexible Work Program to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential. Inclusion, Diversity and Social Responsibility. We truly believe our employees' diverse backgrounds, experiences and perspective are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome the candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift program and access to employee networks that help you stay connected to what matters to you. State Street is an equal opportunity and affirmative action employer. Discover more at StateStreet.com/careers About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at StateStreet.com/careers Read our CEO Statement ]]>

Food Production Operative - Nights Gap personnel is recruiting food production operatives for a busy factory based in Chessington KT9, in this role you will help keep the production line running smoothly and makes sure products are packed and ready to go to customers. Hours: 7:00pm – 7:00am Shifts: 4on, 4off Pay: £14.36ph, Overtime £21.54ph Type: Temp to perm opportunties for the right candidate. Increase pay through dedicated training & learning (earn up to £16.60-£24.91ph) Location & Travel: Excellent bus routes from Kingston, Surbiton, and Tolworth Bus stop is just a 1-minute walk from the site Around 25–30 minutes by train from London Waterloo to Tolworth or Chessington North. Free on-site parking Duties: Getting machines ready for use (cleaning, basic checks, and starting them up) Adjusting simple machine settings, like speed, when needed Feeding materials or parts into machines Packing products into trays or bags based on instructions Preparing finished products so they are ready for delivery Making sure all products and packaging are labelled correctly Adding cardboard sleeves to packaged items Checking that goods being loaded or unloaded match the paperwork Keeping your work area clean, tidy, and safe Using manual handling equipment safely to move items Requirements: Can comfortably commute to site. Good communication skills. Able to read, write, and speak English. Willing to learn new skills. Works well as part of a team. No Shellfish allergies. Company Benefits 20 days holiday (including bank holidays, pro rata), increasing by 1 day per year up to 25 days Pension: 5% employee contribution, 3% employer contribution Life insurance (3× annual salary) Employee Assistance Programme Cycle to Work scheme Staff discount on products Free refreshments On-site parking Referral programme Sports & Social Fund To apply for this multiskilled production operative position, please send your updated CV to complete online registration or contact the team for more information on (phone number removed)

Summer-Browning Associates is currently supporting our central government client, who is seeking a Security Architect. This position is for an initial 12-month contract assignment, with the possibility of extension. Location: London The ideal candidate will hold an active security clearance and have a strong background in Security Architecture, along with the following skills and experience: A solid understanding of High-Level Security Architecture (HLD) and a secure-by-design approach. Experience leading security architecture for large-scale cloud hosting (specifically Azure and GCP) in high-threat government Tier 2 secure environments. Extensive knowledge of security architecture, including identity management, device security, workstation protection, cloud hosting, collaboration tools, networking, cryptography, operations, and data governance. Strong understanding of secure DevOps practices, CI/CD controls, and Infrastructure as Code (IaC) hardening. Experience applying security controls to AI and machine learning components, Demonstrable knowledge of cybersecurity frameworks and standards, including the NCSC Cyber Assessment Framework, ISO 27001, NIST, COBIT, as well as SABSA and TOGAF. - Preferred Qualifications: Industry certifications such as CompTIA Security+, CISSP, CISM, CEH, or GIAC are highly desirable.To apply, please submit your latest CV for review

Hexwired has partnered with a company who are a leading company in the European defence industry. They are looking for a Software Test Engineer who will be working on different systems effectively. Although you will be working in a team you should be able to work under your own steam. Key skills required for this role: • Strong communication and interpersonal skills., • Proficient computer skills, including experience with Microsoft Office applications., • Solid understanding of the Software Engineering Lifecycle, particularly testing and integration phases., • Familiarity with scripting and programming languages to support build and test automation., • Willingness to travel occasionally, including visits in the UK and overseas. The salary for this Software Test Engineer role will be competitive and discussed at interview. The company are rapidly expanding and are at the forefront of their industry. They are looking to pay circa a competitive salary dependent on experience along with an excellent benefits package. If you’re interested in this Software Test Engineer in London, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today...

We have a current opportunity for a Quant Developer on a permanent basis. The position will be based in London. For further information about this position please apply. Candidate will sit at the boundary between rigorous financial research and production engineering - writing models that run live on the trading floor, priced in real time, monitored in production, and generating PnL. You will work directly with traders and risk managers in a true front office environment where the feedback loop between your research and market outcomes is immediate. This is not a research lab role. Requirements 10-15 years combined quant research and software engineering; minimum 5 years embedded in a front office (any asset class) Options pricing across the full surface - vanilla, spreads, and structured products in commodity or energy markets Vol surface calibration: smile fitting, SABR, SVI, Heston, or equivalent; arbitrage constraints and numerical stability in production Greeks and second-order risk: delta, gamma, vega, volga, vanna, theta; PnL attribution and daily risk reconciliation VaR, stressed VaR, and scenario analysis implementation; working knowledge of regulatory capital frameworks Commodity modelling: term structure, forward curve construction, seasonality, convenience yield, and basis risk Real-time pricing and risk system design - latency-aware implementation, incremental recalculation, and feed-driven revaluation Backtesting framework design: walk-forward validation, statistical significance testing, and performance attribution Production-quality Python and/or C++ - code an engineer can review, a CI pipeline can test, and an ops team can support kdb+/q, In__DB, or TimescaleDB for high-frequency time-series market data storage and analysis Ability to set a research agenda independently and communicate risk and findings clearly to senior traders and management Cloud infrastructure - Azure preferred, AWS considered; IAM, managed services, automated and auditable deployment pipelines, secrets managementNice to Have Market making, systematic execution, or electronic trading in energy or commodity derivatives Asian options, barrier structures, or path-dependent exotics common in commodity markets Machine learning applied to vol forecasting, regime detection, or execution cost optimisation Open-source quant library contributions, published research, or CQF/MFE/PhD in a quantitative disciplineWhat We're Looking For You do not consider a model done until it is live, monitored, and generating PnL. You stress-test your own assumptions before anyone else does, explain a vol surface to a trader and a codebase to an engineer with equal fluency, and are genuinely energised by markets that are hard to model. ETrading Client trades at the sharp end of global energy derivatives. That should excite you. To find out more about Huxley, please visit Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

Looking out for mix of Data Science and Data Engineering. Someone who is half data scientist and data engineer - Someone who can build and maintain machine learning models And also an engineer who can build data pipelines Someone good at insights and presenting Measuring the success of the sales motions Understands preprencity models SQL - focus project Python is essential GCS is acting as an Employment Business in relation to this vacancy...

Quantitative Researcher/ Trader £150,000 GBP 120,000 Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent My client is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for their clients. With offices around the globe, they emphasize true, global collaboration by aligning their investment, technology, and operations teams functionally around the world. Your future role ? Your core objective is to create high quality predictive signals ? By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities ? Share and discuss research results, methodology, data sets and processes with other researchers ? Implement the signals and the relevant datasets within the global execution platform ? Monitor signal behaviour and model performance over time ? You would lead the full strategy research cycle from signal generation to implementation Your present skillset ? Min 4 years of relevant experience ? Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering ? Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus ? Capacity to multi-task in a fast paced environment while keeping strong attention to detail ? Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#) ? Experience in exploring large datasets across multiple time frames is a plus ? Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields ? Capacity to work with autonomy within a collegial and collaborative environment ? Strong capacity to communicate with technologists, data scientists and traders across the globe ? Proven track record in delivering successful systematic strategies Reference: AMC/AHU/NW/JQR01 #alhu TPBN1_UKTJ

Robotic Process Automation (RPA) Developer Organisation Overview We're seeking an experienced Robotic Process Automation (RPA) Developer to support a policing organisation in modernising and streamlining its operational and administrative processes. This contract role is ideal for someone who thrives in secure, high-stakes environments and can translate complex policing workflows into robust, automated solutions. Role Summary In response to ongoing strategic initiatives and increasing demand for automation expertise, Our Client is seeking an experienced RPA Developer. This pivotal role is designed to enhance their automation capabilities and support digital transformation projects. The position offers an exciting opportunity to shape technological advancements, contribute to impactful solutions, and work at the forefront of automation innovation. Responsibilities You'll be required to come in and deliver end-to-end solutions, starting with the discovery phase Design, develop, and implement automation scripts and solutions using leading RPA tools Collaborate with business stakeholders to understand requirements and translate them into technical automation workflows Test, debug, and optimise RPA processes to ensure efficiency, accuracy, and reliability Maintain documentation and version control for automation assets Support deployment and integration of RPA solutions within existing systems Provide ongoing maintenance and updates to automation solutions as needed Stay abreast of industry best practices and emerging trends in robotic process automation Essential Skills & Experience Proven experience developing RPA solutions with Blue Prism Strong programming skills in languages relevant to RPA development Solid understanding of process mapping, analysis, and optimisation techniques Experience integrating RPA tools with enterprise systems and databases Ability to troubleshoot technical issues and implement effective solutions Excellent communication skills to liaise effectively with technical and non-technical teams Demonstrable experience delivering automation projects within a corporate environment Essential Skills & Experience Knowledge of AI and machine learning integrations with RPA Experience working with a Police Force Strong experience with Blue Prism Familiarity with Agile or Scrum methodologies Previous exposure to cloud-based automation deployment Certifications in recognised RPA platforms or related fields Experience working in a regulated industry environment Call to Action If you are a motivated RPA Developer ready to make a significant impact within a forward-thinking organisation, we invite you to submit your CV for consideration. Join our client's team and be part of shaping the future of automation technology. TPBN1_UKTJ

A high-growth institutional trading business in the digital assets market is expanding its London team and hiring a Quant Developer to join its OTC pricing function. This is a great opportunity to join a successful firm adding headcount as it continues to grow, and to work on highly visible quantitative systems that sit at the core of pricing, hedging and liquidity decisions. The role offers a rare blend of quantitative research partnership and hands-on production engineering, making it ideal for someone who enjoys solving real market problems in a fast-paced trading environment. THE ROLE: Quant Developer OTC Pricing This is a senior-level quant development role within the OTC pricing team, focused on turning quantitative ideas into robust, production-grade trading and pricing solutions. The successful candidate will work very closely with quantitative researchers, contributing not only to implementation but also to the design and refinement of pricing and liquidity models. The role combines research-oriented modelling in Python with production engineering in Java. You will use Python to analyse data, test ideas and support model development, while using Java to build and enhance high-performance pricing infrastructure used in a live, global trading environment. You will be involved in the development of pricing logic, flow analysis, spread optimisation and automated hedging tools. The role also includes working on distributed systems challenges in a 24/7 multi-region environment, where reliability, consistency and performance are critical. This is a high-impact position for someone who enjoys applying quantitative thinking to real trading and pricing problems at scale. KEY RESPONSIBILITIES: Quant Developer OTC Pricing Build and enhance quantitative pricing, hedging and optimisation models within a high-performance Java framework Work alongside quantitative researchers to analyse large datasets and translate research into production-ready solutions Use Python for model prototyping, data analysis, signal investigation and backtesting activity Develop and improve pricing skew, spread and liquidity optimisation logic Design and implement automated hedging strategies, taking into account execution risk, liquidity and market impact Support pricing system deployment across distributed, multi-region architecture with a focus on uptime and consistency Analyse client trading behaviour, including flow quality, decay and pricing performance, to support more effective pricing decisions Contribute to the ongoing evolution of tools and systems used in a live institutional trading environment REQUIRED - SKILLS/EXPERIENCE: Strong Java development experience, ideally 5+ years Deep understanding of object-oriented design, concurrency, and high-performance distributed systems Proficient in Python; Including use of libraries such as NumPy, SciPy and Pandas for quantitative analysis and prototyping Proven experience applying numerical optimisation techniques and/or machine learning methods to pricing, trading or market-related problems Prior experience in client pricing, electronic trading, or a closely related quantitative trading environment Exposure to liquid markets such as FX, equities, ETFs or crypto Strong academic background in a quantitative discipline such as Mathematics, Physics or Quantitative Finance Ability to operate effectively in a role that bridges quantitative modelling and production engineering DESIRABLE - SKILLS/EXPERIENCE: Familiarity with low-latency system optimisation, such as GC tuning or tools/frameworks used in high-performance messaging environments Understanding of derivatives pricing and risk management, particularly across products such as futures, forwards, NDFs and CFDs KDB+/Q Exposure to AWS, Docker and Kubernetes TPBN1_UKTJ

Head of AI Governance London - Hybrid £90,000 - £110,000 + bonus VIQU has partnered with a leading insurance organisation, undergoing significant data and AI transformation, as they continue to embed advanced analytics and AI capabilities across their business. They are now seeking a Head of AI Governance to join their Chief Data Office, responsible for establishing and embedding robust AI governance frameworks, ensuring the ethical and compliant use of AI, and enabling the organisation to scale AI adoption in a controlled and responsible way. This role will operate at the intersection of data science, risk, and regulation, working closely with senior stakeholders to drive innovation whilst managing risk in a highly regulated environment. Key Responsibilities of the Head of AI Governance: • Define and implement the organisation’s AI governance framework, aligned to business objectives and regulatory requirements. • Establish policies and standards to ensure the responsible, ethical, and compliant use of AI across the organisation. • Identify, assess, and mitigate AI-related risks, including bias, privacy, and model explainability. • Develop governance models across key insurance use cases such as underwriting, pricing, claims, and fraud. • Implement controls, monitoring, and audit processes for AI models and data usage. • Ensure compliance with regulatory frameworks including GDPR, FCA guidelines, and emerging AI regulations. • Monitor AI model performance, accuracy, and fairness, implementing continuous improvement processes. • Develop reporting frameworks, dashboards, and governance metrics to provide visibility of AI risk and performance. • Collaborate with data science, technology, and risk teams to embed governance into AI development and deployment lifecycles. • Engage with senior stakeholders and executive leadership to communicate governance strategy, risks, and opportunities. Essential Requirements of the Head of AI Governance: • Proven experience leading AI or ML governance within insurance or financial services environments. • Strong background in data science, machine learning, or AI, with hands-on experience earlier in career. • Experience managing AI model development and deployment within regulated environments. • Strong understanding of insurance processes such as underwriting, pricing, claims, or fraud. • Knowledge of regulatory frameworks including GDPR, FCA, and AI governance standards. • Experience working with cloud platforms such as Azure, AWS, or Google Cloud. • Ability to translate complex business challenges into AI-driven solutions. • Strong stakeholder management skills, with experience operating at senior or executive level. • Understanding of actuarial principles and insurance analytics is highly desirable. • Relevant certifications in AI, machine learning, or data science would be advantageous. To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Katie Dark on (url removed). If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply). Head of AI Governance London - Hybrid £90,000 - £110,000 + bonus

AI Software Engineer Contract: 6 months, Outside IR35, London, 1 day a week on-site Project Scope The AI Software Engineer will be responsible for developing and deploying AI and machine learning solutions that directly interface with hardware systems. The role spans full project lifecycle, from model design and software development to deployment on embedded hardware, collaborating closely with hardware engineers, system architects, and product teams. Technical Scope Develop AI and machine learning models optimized for hardware execution (edge devices, FPGAs, GPUs, or specialised accelerators). Integrate AI algorithms with embedded systems, sensors, or real-time hardware platforms. Optimize software for performance, low latency, memory efficiency, and energy consumption. Collaborate with hardware and firmware teams to ensure smooth end-to-end system operation. Support testing, validation, and debugging on physical hardware prototypes. Required Experience Strong background in AI/ML software development with experience in frameworks like TensorFlow, PyTorch, ONNX or similar. Experience in integrating AI with hardware platforms such as embedded processors, GPUs, FPGAs, or edge AI accelerators. Proficiency in programming languages such as Python, C++, or C for hardware interfacing. Knowledge of real-time systems, firmware, or device drivers is highly desirable. Comfortable working in structured, documentation-heavy R&D environments. Strong analytical skills and ability to collaborate across multidisciplinary teams

SW Engineer (Distributed Computing, AWS, Python, C#/C++) Oxford - 3-4 days per week in office. £45000 - £68000 + Package. • Must have a Computing/STEM Degree (2:1 or higher). - Can work in their Oxford head office 3-4 days week. - Must have experinece with AWS / Distributed Computing Your new company You'll be joining a cutting-edge engineering and technology organisation that has grown rapidly in the UK, now pushing into global markets. Formed by world leading experts in science/software the business is redefining how high performance components/instruments are designed. This role would essentially suit someone with a passion for Mechanical Engineering/Physical Modelling with commercial Software Development experience - you must have written production grade code in C#, C++ or Python for application development (not web apps or embedded) and an interest in pushing Machine Learning over time. Crucially we are looking for experience with AWS Cloud / Distributed Computing to be considered. Your new role In this role you'll be tackling engineering challenges that most organisations simply can't touch and building proprietary software that makes a difference in the world. You will thrive in an environment where new challenges appear daily and innovation is the expectation. Your role will involve developing core modules within the Engineering design platform, and integrating modules into a cloud compute environment for a team that runs Agile. You'll wrap commercial simulation tools, integrate everything into automated workflows and help streamline complex engineering processes through high quality automation. The right person will be motivated and hungry to solve first-of-their-kind challenges. With the rapid expansion and new investment into the company it's an exciting time to be joining with solid progression opportunities. You're also safe in the knowledge the future is bright as their customer list boasts some of the worlds leading tech, automotive, aerospace and engineering brands. What you'll need to succeed We're looking for candidates with a Bachelors, Masters or PhD Degree in a STEM or Computing discipline - ideally from a Russell Group University. We need 2-6 years proficiency working in a commercial Software Engineering role/team using either C#, C++ or Python. Ideally you'll have worked with Vue/Django, JavaScript/Typescript. You should have AWS Cloud or Distributed Computing experience to apply for this role. this will be supported by a mix of Kubernetes cluster experience, PostgreSQL and Linux platform background. You'll have a strong knowledge of software design patterns and modern engineering principles and clear communication/interpersonal skills are a must for working closely with internal teams. Experience with AWS, Machine Learning models, agentic AI pipelines would be beneficial. What you'll get in return The company offers 25 days' holiday plus bank holidays, flexible working hours, a pension with a 9% employer contribution, private healthcare covering dental & health screening. There are company share options and a huge collection of local discount schemes including gym membership and there is parking on site. What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Business Director on 0333 010 5724. At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk TPBN1_UKTJ

Senior Data Engineer (Python/PySpark & SQL) London (Hybrid - 3 days in office | Monday, Tuesday, Wednesday) Up to £85,000 dependent on experience Ref: J13073 We're working with a fast-growing AI SaaS business where data sits at the core of everything they build. They're looking for a Senior Data Engineer to take ownership of the pipelines that power their platform. You'll be working with real-world, messy data and shaping it into reliable, decision-ready datasets used across product, analytics, and machine learning. Python/PySpark and SQL are central to the role. The Role: ·You'll design and maintain data pipelines, handle edge cases, and ensure data quality as the platform scales. ·The environment is modern and cloud-based, using tools such as AWS, GCP or Azure, alongside Spark, Snowflake or BigQuery. ·You'll also play a key role in supporting and mentoring other engineers through code reviews and collaboration. ·You'll be joining a supportive team that values different perspectives, encourages thoughtful problem solving, and gives engineers the space to contribute in their own way. What we're looking for: ·Strong Python and SQL experience in production ·Experience with Spark, Snowflake, BigQuery or similar ·Cloud experience (AWS, GCP or Azure) ·Comfortable working with complex, messy data ·Experience owning pipelines end-to-end ·Collaborative mindset with mentoring experience If you enjoy building the data foundations behind AI products, this could be a great fit. Get in touch today to find out more Right to work in the UK required (no sponsorship available) If you have a friend or colleague who may be interested, referrals are welcome. For each successful placement, you will be eligible for our general gift or voucher scheme. Datatech is one of the UK's leading recruitment agencies specialising in analytics and is the host of the critically acclaimed Women in Data event. For more information, visit (url removed) <(url removed)

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? Their 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. Candidates earn £28,000-£45,000. 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 Projecti 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. They Get You Hired They 're not new to this. The company has 15+ years of experience and has placed over 5,000 people into new roles. Their job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. They don't believe in empty promises. Complete their 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, they'll help you turn that into a career you can be proud of. Apply now, and one of thier expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Role:ServiceNow SecOps Architect Duration: 6 Months Location: London, UK (Hybrid) The Role We are seeking a forward-thinking ServiceNow SecOps Architect to lead the design and implementation of our security operations capabilities on the ServiceNow platform. In this critical role, youll architect and deliver enterprise-scale SecOps solutions that help secure and strengthen the cyber and operational resilience of one of the UKs largest and most innovative energy companies. Youll work at the intersection of security, technology, and energy operations, driving a platform that underpins the protection of vital infrastructure, renewable energy assets, and millions of customers. Your responsibilities: (Up to 10, Avoid repetition) Design and own the architecture for ServiceNow SecOps modules including Security Incident Response, Vulnerability Response, Threat Intelligence, and Configuration Compliance. Lead integration of ServiceNow with key cybersecurity tools: SIEM, SOAR, EDR, CMDB, threat intelligence platforms, and OT/ICS systems. Collaborate across cybersecurity, IT, engineering, and energy operations to define secure workflows and automation for vulnerability and incident response. Shape the roadmap and best practices for our ServiceNow platform across multiple business units. Champion platform governance, scalability, reuse, and alignment with ServiceNow and enterprise architecture standards. Mentor and guide development and implementation teams, ensuring quality and alignment with strategic goals. Your Profile Essential skills/knowledge/experience: (Up to 10, Avoid repetition) Proven experience as a ServiceNow Architect with strong delivery experience across SecOps and/or IRM modules. Deep understanding of security operations, incident response, vulnerability lifecycle, and integration of third-party cybersecurity tools. Hands-on technical expertise with ServiceNow workflows, scripting, CMDB, Discovery, and integrations (REST/SOAP, MID Server). Experience working in or supporting critical infrastructure sectors, preferably energy, utilities, or OT/ICS environments. Strong stakeholder engagement skills comfortable interfacing with security leaders, business executives, and technical teams. Familiarity with security frameworks (NIST, ISO 27001), regulatory requirements (e.g., NIS2), and resilience mandates. ServiceNow certifications (e.g., Certified Implementation Specialist SecOps). Desirable skills/knowledge/experience: (As applicable) Operational Technology (OT) Security Knowledge Experience working with or understanding OT/ICS environments and industrial protocols (e.g., Modbus, DNP3, IEC 61850) to enhance integration between IT and OT security operations. Cloud Security & DevSecOps Familiarity Awareness of cloud-native security practices and experience integrating security controls into CI/CD pipelines, helping support ongoing digital transformation and automation initiatives. AI/ML in Security Operations Exposure to leveraging artificial intelligence or machine learning techniques to improve threat detection, incident analysis, or automated response capabilities within SecOps. TPBN1_UKTJ

Ready for a challenge? Just Eat Takeaway.com might be the place for you. We’re a leading global online food delivery platform, and our vision is to empower everyday convenience. Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe. About this role Just Eat is looking to hire an Analytics Engineer for the Customer Product Analytics team, which is responsible for enhancing the customer journey for users across our website and app by delivering data-driven insights and optimising our product experience. You will be working in a data-driven environment as part of a multidisciplinary team. You will work closely with our product analysts, data scientists, product manager, and engineers to ensure the data that is required for our features and analytics is reliable, suitable and easy to use. A primary focus of this role is to design and maintain a Single Source of Truth (SSOT) for product behavioural data, ensuring consistency across reporting layers and reducing data silos between teams. You will be a self-starter with an interest in data, experimentation and machine learning, able to work with uncertainty and evolving requirements as we adapt and change to new insights and data. You don’t need prior experience of working with machine learning, but you will be someone who is confident with large datasets, and able to work closely with others or under your own initiative to collaborate, learn and solve problems. Location: Hybrid- 3 days a week from JETs London office & 2 days working from home Reporting to: Product Analytics Manager These are some of the key components to the position: Own the design of optimized Fact & Dimension tables (Star Schemas) to provide a standardized, "single source of truth" for user interactions and conversions. Build and maintain robust SQL-based ETL pipelines ensuring data can be used by the team for various purposes such as training models or evaluating feature performance. These will need to be quality assured, well documented and with sufficient built-in observability for anomaly detection in the underlying data. Partner with Product and Engineering to shape feature development by identifying and collecting the necessary data touchpoints before code is even written. Contributing to the definition of product features based on your knowledge of the data points that will power them. Act as the “go-to” person for data governance best practices. What will you bring to the team? Advanced SQL proficiency, including an understanding of how to improve the efficiency of SQL queries, and a "Software Engineering" approach to data (version control, modularity, and testing). Experience of working with and analysing data. Can plot distributions, describe qualities of data sets. Is statistically or mathematically mindful. Have some experience dealing with data quality and how to handle missing values or anomalies. Can make informed decisions based on the domain. Able to collaborate effectively with Product, Engineering stakeholders and other colleagues. Experience of web and app tracking implementations on customer-facing or ecommerce applications would be advantageous. Experience with ETL/Orchestration tools (e.g. DBT, Airflow) is strongly preferred. Some understanding of Cloud Services (AWS or similar e.g Azure, Google Cloud) and event-driven architecture would be advantageous. Guiding & mentoring others, sharing your knowledge and skills with the wider team whilst further developing your skills through learning and training opportunities. We do not expect every applicant to have a background in analytics or BI engineering. A candidate with a role as a data analyst or a data engineer with heavy experience of SQL would also fit the role well. At JET, this is on the menu: Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else is cooking? Want to know more about our JETers, culture or company? Have a look at our where you can find people's stories, blogs, podcasts and more JET morsels. Are you ready to take your seat? Apply now! #LI-KF1

Head of AI & Data – Chief Data Office London – Hybrid | £140,000 - £150,000 + up to 45% bonus + 15% car allowance VIQU is recruiting a Head of AI & Data to build and lead the UK AI capability from the ground up. This is a hands-on, strategic leadership role within the Chief Data Office, reporting into the Director and working closely with both UK and global stakeholders. The role offers the opportunity to define AI strategy, build a Centre of Excellence, and deliver impactful data-driven initiatives across the business. Key Responsibilities Develop and execute the UK AI strategy, aligned with business and global priorities. Build and scale an AI team and Centre of Excellence, mentoring and growing talent. Lead the design, development, and deployment of machine learning models into production. Establish AI governance, standards, and ethical frameworks to ensure responsible AI adoption. Enable innovation through sandbox environments, tooling guidance, and accelerators. Influence and collaborate with senior stakeholders to translate AI into measurable business value. Drive data-centric AI initiatives, ensuring compliance and alignment with enterprise architecture. Collaborate with global AI teams to align strategy, frameworks, and best practices. Key Requirements Current Head of AI, Head of Data Science, or Senior AI Lead ready to step up. Proven experience building and scaling AI/ML teams (0–10 / 0–15). Insurance experience Strong technical credibility in ML, AI, and enterprise platforms. Hands-on experience with Azure, Databricks, and ML tools (TensorFlow, PyTorch, Scikit-learn). Knowledge of Responsible AI, ethical frameworks, and compliance standards. Experience in insurance or regulated financial services preferred. Comfortable presenting to and influencing executives. Collaborative, adaptable, and able to navigate complex stakeholder environments. To apply: Please reach out via LinkedIn to Phoebe Rees or apply via the VIQU website. Know someone suitable? You could earn up to £1,000 if your referral is successful (T&Cs apply)

Our OEM Client based in Gaydon, is searching for a Senior Electronic and Mechanical Integration Engineer 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. Duties: Responsible for design and integration of electronic and mechanical components and their interfacing during the development of electro-mechanical systems: Participates in cross-functional teams to define requirements, analyse feasibility, and propose solutions that meet customer needs. Conducts system analysis to resolve tradeoffs and drives integration of system engineering tools and processes across platforms to optimize performance. Managing large projects or processes with limited oversight from manager. Problems faced are difficult and often complex. Creating & compiling requirements – populating relevant systems with programme requirements, authoring new requirements as necessary. Is able to design, build & test machine learning features to be incorporated into driver modes and attribute features. Creating and defining new attribute related features - supporting the demand process and leading from initial concept to delivery. Develops Simulink models, functional requirements documentation, and test cases. Setting targets – definition of full suite of feature and component targets for programme to include cascading to module groups and target negotiation / attribute balancing as necessary. Futuring targets for post Job 1 programme derivatives by consideration of PALS positioning & potential future competitor actions. Definition of test plan – work in conjunction with project teams to define test plan for testing in UK & hot & cold climatic conditions. Test to plan and maintain overall target spend levels against budget. Management of multi-functional team to carry out the test plan. Reporting to senior management on the project status at regular milestone reviews – represent the team at gateway events. Carry out robust lobbying of other CoC's to ensure attribute targets are met, support project and program meetings VIT, PST, 'Must Resolves', Technical Issues, L1 reviews etc. All reporting out to be completed within gateway timing requirements of project. Carrying out benchmark exercises – competitor & product benchmark drives to be carried out. Competitor analysis (over & above benchmarking), desk top data collection & physical measurement of vehicles. Skills Required: Experience with software integration, calibration and delivery. Experience of feature delivery & demand process. Machine learning and experience of using motion detection, prediction and scanning. Experience and knowledge of ADAS system design and integration. Highly self-motivated engineer with proven inter-personal communication/networking skills. Proven project and time management skills and able to work to a high standard with minimum supervision. Demonstrable people-management, team working, organisational and budget management skills. Demonstrating a robust scientific approach with knowledge of design of experiments. Good working knowledge of vehicle engineering, test & development, and experience of whole vehicle evaluation. Confident presentation & report-writing skills; competent use of MS Office. Excellent communication and interpersonal skills, with strong influencing and engagement skills A flexible approach to work beyond normal hours as required. Reasonable flexibility to support overseas testing. Education Required: Educated to degree level or working to obtain a degree. TPBN1_UKTJ

Data Scientist Salary: £85,000 - £95,000 + Equity Location: London (Hybrid - 2-3 days per week in office) We are currently looking for a Data Scientist to join a fast-paced, early-stage AI startup building cutting-edge technology in the mobile app space. Reporting directly into the CTO, this Lead Data Scientist will play a critical role in shaping the company's core product and driving real commercial impact from day one. As a Data Scientist, you'll be working at the heart of the business, designing and deploying machine learning models that predict user behaviour, helping clients optimise for revenue, retention, and long-term value rather than just installs. This Lead Data Scientist will take ownership of a key part of the platform, working closely with the founders to turn complex data into actionable, high-impact solutions. Day-to-day, the Data Scientist will be building models, experimenting with new approaches, and continuously improving performance across customer datasets. You'll be operating in a highly collaborative but autonomous environment where your work directly influences product direction and business outcomes. The Opportunity This is a genuinely high-impact role, where you'll have ownership, visibility, and the chance to shape both the product and the company's future. As a Data Scientist, you will: Design and build advanced machine learning models focused on: User behaviour prediction Churn and propensity modelling Develop a scalable "model factory" capable of generating bespoke models per client Work with complex behavioural event data from mobile applications Collaborate directly with the founders on product and technical direction Continuously experiment, iterate and improve model performance Own a key part of the data science stack end-to-endWhat makes this different? You're not optimising dashboards, you're building the core product Your work directly impacts client revenue and acquisition strategy You'll operate with real ownership, not layers of process It's a chance to join early and help shape a product with a clear path to exit What's in it for you? £85,000 - £95,000 base salary Meaningful equity in a high-growth startup Opportunity to work alongside experienced founders High ownership and autonomy from day one Exposure to cutting-edge machine learning challenges Clear progression as the company scales Hybrid working (London-based, 2-3 days in office) Skills and Experience Must have: Strong experience in machine learning / data science (typically 4-8+ years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world, messy datasets Ability to work autonomously in a fast-paced environment Nice to have: Experience in mobile apps, subscription products or growth analytics Exposure to experimentation / A/B testing environments Experience working in early-stage startups Familiarity with building scalable ML systems or pipelines Commercial mindset - understanding how models impact revenueIf you would like to be considered for the role and feel you would be an ideal fit with the team, please send your CV by clicking on the Apply button below

Senior Data Scientist Salary: £85,000 - £95,000 + Equity Location: Central London (Hybrid - 2-3 days per week in office) We are currently looking for a Senior Data Scientist to join a fast-paced, early-stage AI startup building cutting-edge technology in the mobile app space. Reporting directly to the co-founders, this Lead Data Scientist will play a critical role in shaping the company's core product and driving real commercial impact from day one. As a Senior Data Scientist, you'll be working at the heart of the business, designing and deploying machine learning models that predict user behaviour, helping clients optimise for revenue, retention, and long-term value rather than just installs. This Senior Data Scientist will take ownership of a key part of the platform, working closely with the founders to turn complex data into actionable, high-impact solutions. Day-to-day, the Senior Data Scientist will be building models, experimenting with new approaches, and continuously improving performance across customer datasets. You'll be operating in a highly collaborative but autonomous environment where your work directly influences product direction and business outcomes. The Opportunity This is a genuinely high-impact role, where you'll have ownership, visibility, and the chance to shape both the product and the company's future. As a Senior Data Scientist, you will: Design and build advanced machine learning models focused on: User behaviour prediction Churn and propensity modelling Develop a scalable "model factory" capable of generating bespoke models per client Work with complex behavioural event data from mobile applications Collaborate directly with the founders on product and technical direction Continuously experiment, iterate and improve model performance Own a key part of the data science stack end-to-endWhat makes this different? You're not optimising dashboards, you're building the core product Your work directly impacts client revenue and acquisition strategy You'll operate with real ownership, not layers of process It's a chance to join early and help shape a product What's in it for you? £85,000 - £95,000 base salary Meaningful equity in a high-growth startup Opportunity to work alongside experienced founders High ownership and autonomy from day one Exposure to cutting-edge machine learning challenges Clear progression as the company scales Hybrid working (London-based, 2-3 days in office) Skills and Experience Must have: Strong experience in machine learning/data science (typically 4-8+ years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world, messy datasets Ability to work autonomously in a fast-paced environmentIf you would like to be considered for the role and feel you would be an ideal fit with the team, please send your CV by clicking on the Apply button below

AI GTM Solution Engineer (GenAI / LLM / Pre-Sales) We’re hiring an AI GTM Solution Engineer to help shape and deliver cutting-edge Generative AI (GenAI) and LLM-powered solutions for enterprise customers. This is a customer-facing pre-sales / solution engineering role where you’ll design, prototype and demonstrate AI solutions, working closely with sales, product and engineering teams. Key Responsibilities * Design and deliver AI / GenAI solutions aligned to customer use cases * Build and showcase POCs, demos and technical presentations * Work with LLMs, LangChain, OpenAI APIs and AI agents * Support solution architecture, APIs, integrations and cloud deployments * Collaborate across GTM, sales and engineering to refine offerings Requirements * Experience in Solution Engineering, Pre-Sales, Sales Engineering or Technical Consulting * Strong knowledge of LLMs, Generative AI, Machine Learning * Hands-on with LangChain, OpenAI, GPT or similar tools * Programming experience in Python * Experience with APIs, integrations and REST services * Cloud exposure: AWS, Azure or GCP * Proven experience delivering POCs, demos or customer-facing solutions Desirable * Experience building AI-powered enterprise solutions * Background in startups or high-growth environments * Exposure to AI agents or agentic workflows This is a high-impact opportunity to work at the forefront of AI innovation, influencing GTM strategy and delivering real-world AI solutions

Data Science Researcher Up to £140k+ | Start‑Up | ML | Python | Finance Python | Machine Learning | Quant Research | Trading | Finance | Research Pipelines | AI Tools | Hypothesis Testing | POCs | Exchanges | Mathematics | Do you want to join a fast‑growing, heavily funded trading start‑up right at the ground floor, where your research directly shapes the future of their strategy? A place where you’ll be shaping the research lab from scratch, working directly with founders, and building the scientific engine that drives future trading strategies? They’re a small, sharp, highly technical team operating within the trading domain, currently focused on discovering new trading opportunities through deep quantitative research, data science, and analytical exploration. Over the next 6 months they’ll scale into data engineering, but right now the most pressing need is a Data Science Researcher who can own the research pipeline end‑to‑end. You’ll be the Data Science Researcher who: Takes academic research papers and turns them into structured hypotheses Designs scientific pipelines to test ideas and uncover signals Uses AI tools to accelerate research and exploration Builds multiple POCs to validate or kill ideas quickly Gains deep understanding of exchange‑to‑exchange mechanics Dives into formulas, models, and domain‑specific approaches Analyses, models, tests, and ultimately recommends trading strategies Bridges the gap between a trading desk mindset and modern ML/Data Science practiceMust‑haves: Python ML frameworks & data science tooling Strong mathematical foundation Curiosity, scientific thinking, and the ability to build & test hypotheses Interest in quant finance and trading strategy researchThis is a rare chance to help define the research culture of a trading start‑up before it scales. They’re not in a rush, they want the right person, but if the fit is there, they can move quickly. Salary range: £140k+ (flexible for the right profile) If this sounds like your next step, send your CV directly to: (url removed)

Our client, a prominent entity in the Defence & Security sector, is seeking a meticulous Data Scientist with a strong understanding of Linux, Data Science, and AWS to join their team. This is a contract position located in London for a duration of 12 months, requiring a UKIC DV clearance to undertake sensitive and impactful work. Key Responsibilities: Develop and deploy data science solutions to support national security missions. Build and optimise data pipelines for processing large, complex datasets. Apply machine learning and statistical techniques to extract actionable insights. Create clear visualisations to communicate findings to stakeholders. Collaborate in agile teams to deliver robust, scalable solutions. Support cloud-based deployments and integration into operational environments. Job Requirements: Proficiency with scripting languages like Python for data exploration, cleansing, and manipulation. Knowledge of machine learning models and statistical techniques, including validation. Understanding of data analytics and data visualisation techniques. Ability to process large datasets via batch or stream processing using Apache Spark or similar tools. Exposure to techniques used for acquiring and fusing data. Experience with cloud platforms (preferably AWS) or implementing cloud-based data science solutions. Knowledge of, or willingness to learn, DataOps. Experience with structured or unstructured databases. Experience with container technologies, including Docker and Kubernetes. Familiarity with agile ways of working. Understanding of software best practices including version control, CI/CD pipelines for automated testing, and deployment. Proficiency in Linux. BPSS & Current UKIC DV clearance. Additional Details: Location: 5 days per week onsite - London Duration: 12 months If you are a dedicated Data Scientist with the necessary clearances and skills, and are eager to contribute to mission-critical projects in the realm of national security, we want to hear from you. Apply now to take the next step in your career with our client

Tank have been engaged by a client to recruit a Contract Senior Go / Golang Engineer to support the delivery of advanced, production-grade systems. 12+ Month Contract Hybrid working - London Key Skills: Proven experience building backend or network-facing services using Go Strong Python skills, ideally within machine learning or computer vision environments Familiarity with frameworks such as PyTorch or TensorFlow (or a willingness to learn) Experience with containerisation and orchestration tools such as Docker or Kubernetes Comfortable working in Linux-based environments Solid understanding of version control best practices (e.g. Git) If this opportunity is of interest, please apply or get in touch for more details

We are looking for a skilled AWS MLOps Engineer to help deploy, automate, and manage production-grade machine learning solutions within our clients AWS environment. This is a great opportunity for a MLOps Engineer to become a vital part on a new data team. This is a hybrid role with the expectation to be in the London office 1-2 times per week. Key Responsibilities Deploy ML models as real-time endpoints using Amazon SageMaker * Build and manage batch inference pipelines * Implement CI/CD workflows for ML using Git-based processes * Containerize applications using Docker * Monitor model performance, data drift, and system health using CloudWatch * Automate data pipelines and feature workflows using Python & SQL * Ensure secure access and governance using AWS IAM and best practices Core AWS Stack Amazon SageMaker | Amazon S3 | Amazon Redshift | AWS Lambda | Amazon CloudWatch | AWS IAM What We're Looking For ✔ Strong hands-on experience with AWS ML infrastructure ✔ Experience deploying and monitoring ML models in production ✔ Proficiency in Python and SQL ✔ Knowledge of Docker and CI/CD pipelines ✔ Experience with Infrastructure-as-Code (CloudFormation preferred) This role focuses on transforming machine learning from experimentation into secure, scalable, production-ready systems. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy

Marketing Intelligence Lead London – hybrid (2 days in) £85,000 - £115,000 + bonus & benefits A newly created role to build a marketing measurement framework that assesses the true effectiveness of marketing activity and guides where investment should be made. In this role, you’ll apply advanced analytical techniques - such as marketing mix modelling, multi‑touch attribution, econometrics, and incrementality testing - to understand which channels drive customer acquisition and how marketing contributes to sales outcomes. You’ll work closely with marketing teams to independently evaluate campaign performance, ROI, and channel effectiveness, providing data‑driven recommendations that inform strategy and budget allocation. Ultimately, you’ll help the business gain an unbiased, evidence‑based view of how well marketing performs and where future investment should be made. The candidate. • Advanced analytical and statistical capability, with proven experience in marketing attribution modelling, campaign performance analysis, and ROI measurement., • Expertise in multi‑touch attribution, MMM - marketing mix modelling, experimental design, and incrementality testing, with the ability to apply these methodologies in real‑world marketing contexts., • Channel‑level marketing experience across paid search (PPC), paid social, and programmatic., • Ability to translate complex data insights into clear, actionable business recommendations, tailoring outputs for both technical and non‑technical audiences., • Excellent stakeholder management and communication skills, with experience consulting and influencing senior leaders., • Deep understanding of digital marketing metrics, customer journey analytics, and performance measurement frameworks across channels and platforms., • Commercial mindset with a collaborative working style, able to partner effectively with marketing, finance, data, and technology teams to drive data‑informed decision‑making. nice to have… • Proficiency in Python and SQL to support modelling, data manipulation, and exploratory analysis., • Broader machine learning experience, such as uplift modelling, predictive modelling, clustering, or propensity modelling., • Experience in market research methodologies (quantitative or qualitative) to complement analytical insight with customer understanding., • Exposure to customer journey, behavioural analytics, profitability or LTV, helpful for linking marketing impact to downstream customer outcomes

Data Science Consultant Datatech Analytics London Area, United Kingdom (Hybrid) London | Manchester Hybrid £Competitive + Bonus + Benefits Datatech Analytics is partnering with a leading global consultancy to appoint a Data Science Consultant to join a growing Digital & Data practice. This role sits within a multidisciplinary team of data scientists, engineers and consultants delivering advanced analytics solutions across sectors including financial services, energy, government, defence, health and consumer industries. You will work closely with clients to translate complex business challenges into analytical approaches, building models and data-driven solutions that support better decision making. There is particular interest in candidates with backgrounds in Operational Research and Geospatial analytics, where mathematical modelling and spatial analysis can drive insight into complex systems, optimisation challenges and real-world decision making. The Role As a Senior Data Science Consultant you will combine strong technical capability with consulting skills, working directly with clients to design, develop and deploy advanced analytics and machine learning solutions. You will work across the full analytics lifecycle, from problem definition and exploratory analysis through to model development, deployment and stakeholder communication. Typical responsibilities include: Designing and delivering advanced analytics, machine learning and modelling solutions Translating client business challenges into analytical frameworks and data-driven insights Developing predictive models and operational research approaches for complex decision problems Applying spatial or geospatial analytics where relevant to support real-world applications Working with cross-functional teams including product, engineering and design Communicating analytical approaches and findings to technical and non-technical stakeholders Key Skills and Experience We are looking for candidates with strong academic foundations and experience applying advanced analytics in real-world environments. You may bring experience across: Data science, machine learning or statistical modelling Operational research, optimisation or mathematical modelling Geospatial analysis or spatial data modelling Python, SQL and data analysis tools Data visualisation and dashboard development Experience working with large datasets and cloud based analytics environments A degree, MSc or PhD in a quantitative discipline such as data science, mathematics, operational research, physics or statistics would typically be expected. Why This Role This is an opportunity to work at the intersection of advanced analytics, consulting and real-world impact, helping organisations solve complex challenges through data. You will work alongside experienced technologists, scientists and consultants on varied projects across multiple industries, while continuing to deepen your technical expertise and develop your consulting capability. (url removed) Eligibility for UK security clearance may be required for some projects

Senior Microsoft 365 Developer is required by fast growing and highly successful global organisation. This is a new opportunity within their experienced, dynamic IT team. Purpose : The Senior Microsoft 365 Developer will lead and innovate in the creation, customisation, and optimisation of Microsoft 365 and SharePoint solutions that drive business productivity and enhance user experience. This role involves architecting and developing applications and integrations within the Microsoft 365 ecosystem, including Power Platform and Azure integrations, while providing technical leadership and strategic guidance to projects and teams. Role Responsibilities: Manage, configure, and develop within Office 365 environments, utilising a range of Office 365 applications for document management and collaboration. Design and develop applications using Power Apps (Canvas Apps), Power Automate, and Power BI to create integrated solutions that support business needs. Knowledge of development using the Microsoft Graph API enhancing interconnectivity across applications. Develop, customise, and manage Modern SharePoint sites, including site pages, web parts, and site templates to enhance user experience and productivity. Implement Front End solutions utilising SPFx, PnP, and frameworks like JavaScript, TypeScript, and .NET Core for dynamic user experiences and functionality. Integrate Office 365 applications with third-party and cloud services using APIs, JSON, and CSOM, ensuring seamless data flow and application interoperability. Build Azure-based solutions integrated with Office 365, leveraging Azure Logic Apps, Function Apps, and other Azure services, with programming in JavaScript, C#, and PowerShell. Practical Office 365 product experience - configuring, administration, development and deploying solutions using the full range of Office 365 apps for document management and collaboration. Knowledge of SharePoint Online, OneDrive, Microsoft Teams. Apply practical knowledge of SharePoint Online and associated Services (Search Service, User Profile Service, Compliance Centre, Security Centre, Content and Document Management Principles). Apply practical knowledge in the use of PowerShell to automate deployments and perform maintenance tasks Experience of undertaking Office 365 BAU Admin activities. Implement robust security practices when working with Office365, Power Platform and Azure. Demonstrate strong interpersonal skills with an ability to communicate complex technical concepts effectively to clients and stakeholders. Capable of working autonomously, remotely, or collaboratively within diverse team environments. Prioritise, plan, and multitask effectively within deadlines and budget constraints, applying project management principles where required and ability to work within a project team. Experience working on projects, taking requirements, generating designs, and implementing a final solution. Strong understanding of Application Lifecycle Management when working with Power Platform and Office365 Solutions. Maintain up-to-date skills, learn new technologies as needed, and proactively identify and implement effective solutions for business requirements. Qualifications/Skills/Experience: Knowledge of Azure Servers, Web Applications, Storage Solutions, Data Solutions, Machine Learning Solutions and Networking Knowledge of Web Design/Development using HTML, CSS and Adobe Creative Cloud suite of product Knowledge of Azure SQL Database implementation and development with Azure Data Factory Excellent training and career development opportunities exist for the right candidate. Location: Essex/Hybrid Basic salary £80-100,000 + excellent benefits. TPBN1_UKTJ