32 jobs found

Senior Analytics & Insights Manager 6-Month Contract Inside IR35 Hybrid Working (London) Our client, a leading global pharmaceutical company, is looking for an experienced Advanced Analytics & Insights Manager to join their team on an initial 6-month contract. This is an excellent opportunity for a talented Analytics Manager to work on high-impact analytics initiatives, helping senior stakeholders make informed business decisions through data-driven insights. The Role You'll work closely with business leaders to translate complex questions into analytical solutions, delivering insights that influence strategy and drive measurable outcomes. Key responsibilities include: Leading advanced analytics and data science projects from concept through to delivery. Applying statistical modelling and analytical techniques to identify trends, drivers and opportunities. Developing prototypes, use cases and analytical frameworks to solve business challenges. Transforming complex datasets into clear, actionable insights and recommendations. Creating compelling presentations and communicating findings to senior stakeholders. Supporting the adoption of innovative analytics and AI-enabled approaches. Collaborating with reporting and visualisation teams to develop effective dashboard solutions. What We're Looking For Strong experience in Data Science, Advanced Analytics, Insights or Analytics Management roles. Excellent Python skills (essential). Experience with R and/or SAS is desirable but not mandatory. Strong understanding of statistical analysis, modelling and data-driven decision making. Experience within the pharmaceutical, biotechnology or life sciences Ability to communicate complex analytical findings to senior stakeholders. Strong PowerPoint and data storytelling skills. Knowledge of SQL, Power BI and AI-enabled analytics would be advantageous. If you're a Data Scientist, Advanced Analytics Manager, Analytics Lead or Insights Manager with strong Python skills and pharmaceutical industry experience, we'd love to hear from you.

Job Title: Senior Planner SC/DV Location: Aldermaston, Reading (on site (possibility to condense hours to 4 days/week Contract Duration : 18 Months Daily Rate: £68.12/hr (Umbrella) IR35 Status: Inside IR35 Security Clearance: DV, or SC and willing to undergo DV prior to start The delivery of the complete planning capability within the business by maintaining the Integrated Master Schedule (IMS). Supporting the Task Manager with business rhythms, schedule integrity, network analysis, Earned Value and communications with the program and business teams. Providing Planning expertise to internal customers within the projects supported. Implementing Planning processes, policies and procedures within the projects supported. Producing Planning and EV deliverables in accordance with agreed business rhythm within the projects. Deliver of long range operational integrated Programme Planning activities. Supporting the Business Management Manager with emergent projects as directed by Business Controller. Developing and maintaining relationships with and awareness of key project stakeholders. Maintain and promote high personal standards in environment, safety, health, security and quality and be a great team player. Key Responsibilities: Delivering Project Controls Planning and EVM expertise and analysis for projects, to produce accurate and timely schedule forecast information to enable business decision-making. Quality of EV variance analysis for schedule performance. (SPI) Supporting the development and continuous improvement of the end-to-end Planning processes and the production and maintenance of associated policies, procedures and guidelines. Supporting the delivery of Planning tools and EVMS, templates and training to internal customers. Essential: Strong P6 background Skilled planner who is proactive and can take lead to promote planning Will be running meetings to promote planning to project teams and the benefits of using a schedule Able to demonstrate examples of adding value to programmes/projects Strong communication and stakeholder engagement skills will be liaising with PMs, engineers and scientists. Familiar with planning fundamentals and critical path analysis Security Clearance: DV, or SC and willing to undergo DV prior to start Disability Confident As a member of the disability confident scheme, CLIENT guarantees to interview all candidates who have a disability and who meet all the essential criteria for the vacancy. In cases where we have a high volume of candidates who have a disability who meet all the essential criteria, we will interview the best candidates from within that group. Armed Forces Covenant CLIENT is proud to support the Armed Forces Covenant and as such, we guarantee to interview all veterans or spouses / partners of military personnel who meet all the essential criteria for the vacancy. In cases where we have a high volume of ex-military candidates / military spouses or partners, who meet all of the essential criteria, we will interview the best candidates from within that group. If you qualify for the above, please notify us on (phone number removed). We will be in touch to discuss your suitability and arrange your Guaranteed Interview. Should you require reasonable adjustments at any point during the recruitment process or if there is a more accessible way for us to communicate, please do let me know. To apply for this role please submit your latest CV or contact Aspect Resources on (phone number removed)

Are you passionate about using data science to solve complex pricing challenges? A well-established global insurance provider is looking for a Senior Pricing Analyst or Pricing Lead to join its supportive Risk Pricing team, where you will directly influence pricing decisions, growth and profitability. It's a role with real scope to use modern techniques, and the team will invest in your development from day one. Location: Based in central London, this hybrid role only needs you in the office one day a month, so it's commutable from a wide area including Milton Keynes, Northampton, Reading, Oxford and even Bristol ! Salary: up to £60,000 at Senior Analyst level or up to £75,000 at Pricing Lead level Benefits: Private Medical Cover, Life Assurance x 4 base salary, Income Protection, 24 Days holiday, increasing with length of service, plus birthday off plus the option to buy extra holiday What you'll be doing • Building and improving risk pricing models using GLMs and more advanced machine learning techniques • Driving R&D and feature engineering to keep raising the sophistication of the team's models • Monitoring expected loss ratios, risk mix and pricing assumptions, and turning findings into clear, actionable insight for the market pricing team • Helping shape the processes and documentation that keep pricing outputs accurate and transparent What you need to bring • Experience in general insurance pricing, ideally personal lines • Strong analytical skills with large, complex datasets, using tools such as Python, R, SQL or SAS • Great attention to detail and a track record of hitting deadlines • Confident stakeholder management and the ability to explain technical work clearly Experience with Emblem, Radar, Excel VBA or similar pricing software would be advantageous, as would knowledge of machine learning techniques and pricing optimisation. Why you'll love this job • A team of experienced pricing specialists who make training and supporting new joiners a priority • Genuine room to experiment with new modelling techniques and see your work influence real business decisions • A competitive salary plus 24 days holiday plus your birthday off, private health cover, life assurance and a range of other benefits If you're an experienced Senior Pricing Analyst, Insurance Pricing Analyst, Pricing Data Scientist, Pricing Modelling Analyst or Insurance Pricing Specialist looking to make a real impact, apply today!

Fully on-site five days a week in central London. This successful financial services firm is growing and looking for a Marketing Manager to join its global team based in London. You will be working with an exceptionally bright, friendly and collaborative group of people in a deliberately non-hierarchical environment. Good ideas are welcomed regardless of who they come from and everyone is encouraged to contribute to the decisions that shape the company's future. Some businesses talk about giving their people a voice; here the culture is built around collaboration in a genuinely refreshing way. For many, the financial services sector conjures up images of either drab, dull offices with drab, dull people wearing drab, dull suits, or excessively and undeservedly over-confident men wearing pin-stripe suits with garish braces talking down to the waiter whilst they drink £500 bottles of wine and surround themselves with mountains of meat their rising blood pressure won't thank them for. Fortunately, neither of these scenarios applies here - this outfit is truly a great place to work and everyone is excellent at what they do and genuinely delightful to be around. You will work closely with an outstanding Marketing Director who brings real strength across brand, creative, content, thought leadership, PR and communications. You will be trusted, supported and given the freedom to make a genuine contribution while working with someone who really knows their stuff. No hovering over your shoulder. No needlessly complicated sign-off process involving seventeen people. Just plenty of opportunity to do excellent work with an excellent team. Successes are celebrated regularly and there are bonuses on top of base salary. The Role - Marketing Manager This is a hands-on marketing role for someone who enjoys making things happen and then digging into the data to see whether they worked. You will take ownership of the operational, digital and analytical side of the marketing function. The Marketing Director leads on the creative and strategic elements so this role will suit someone whose strengths complement that expertise. You will bring the structure, digital knowledge and attention to detail that turn ambitious ideas into activity, results and useful insight. It is very much a consultative environment rather than a role where you quietly wait for instructions - here you'll be bringing your own ideas, perspective and expertise to the team. It is a broad role with plenty of variety, visibility and influence. You will work with senior stakeholders across the firm, contribute to wider conversations and help shape how the marketing function develops as the business grows. Key Responsibilities - Marketing Manager Owning regular performance reporting across the website, LinkedIn and wider digital activity Using GA4, HubSpot, LinkedIn Analytics and other tools to understand what is working and where improvements can be made Maintaining and improving dashboards, trackers and KPIs Identifying trends and opportunities then turning them into practical recommendations Managing day-to-day CMS updates including news, press coverage, team profiles and supplied content Monitoring website performance, SEO, AI search visibility and user behaviour Implementing agreed website improvements and coordinating technical changes with external suppliers Creating straightforward supporting assets using existing templates and brand guidelines Managing the corporate LinkedIn content calendar, scheduling posts and coordinating internal and agency activity Maintaining marketing calendars, project plans, processes and documentation Improving digital storage and developing more effective processes for creating and managing sales collateral Coordinating agencies, suppliers and internal stakeholders Supporting events with attendee information, branding, logistics and collateral Managing marketing assets and supplying approved materials to external partners Identifying relevant awards and accreditations Coordinating information, evidence and stakeholder input for award submissions Keeping actions, approvals, invoices and deadlines firmly under control About You - Marketing Manager You will be an experienced B2B marketer with particular strengths across digital, analytics and marketing operations. You do not need to be a brand strategist, copywriter, designer and data scientist rolled into one suspiciously overworked person. The business already has strong creative and strategic marketing expertise so what it needs is someone who can bring discipline to delivery, confidence with data and a sharp eye for how activity can be improved. You will be comfortable using GA4, Excel and dashboards to make sense of marketing performance. Experience with LinkedIn analytics, organic social reporting, CMS platforms and SEO will also be important and an understanding of how AI is changing search behaviour would be particularly useful. Strong organisation and project management skills are essential as you will be coordinating agencies, suppliers and senior stakeholders while keeping numerous moving parts heading in roughly the same direction. You will also need excellent written English, the confidence to make minor edits to supplied copy and enough familiarity with Canva or similar tools to adapt existing assets when required. Experience within financial or professional services would be useful but is not essential. Curiosity, sound judgement and the ability to get things done will matter more. This is a full-time, office-based position in central London. The firm has deliberately built an in-office culture where people collaborate closely, understand what is happening across the wider business and make decisions quickly. If you want to join a genuinely lovely team, work alongside a brilliant Marketing Director and have a meaningful say in where the business goes next, this is a rare opportunity to do exactly that.

We're looking for a Staffing Data Analyst to join a high-performing analytics team within a global technology and entertainment organisation. This is a hybrid working role from the company's London offices. This is an experienced individual contributor role for someone who enjoys working with ambiguous problems, exploring data, developing hypotheses and turning analysis into actionable business decisions. You will work across multiple teams, partnering with Analytics, Data Science and Product stakeholders to identify opportunities, shape analytical initiatives and influence how problems are approached. Responsibilities include: Lead exploratory analysis across complex, cross-functional business problems Identify patterns, opportunities and hypotheses that can drive business decisions Develop analytical prototypes and models to test ideas and assess potential impact Translate complex analysis into clear, actionable recommendations for stakeholders Partner with Data Scientists and Product Managers to move ideas from exploration into experimentation and modelling Help establish best practices for exploratory analytics and hypothesis development Develop reusable analytical approaches and mentor other analysts Use AI-enabled tools, including generative and agentic AI, to improve analytical workflows and accelerate insight generation What we're looking for: Extensive experience in data analytics, applied analytics, data science or a related field Advanced SQL, Python, R or similar skills Strong experience in exploratory analysis, hypothesis development and data-driven decision making Experience working across multiple teams and influencing senior stakeholders The ability to turn complex data into clear, commercially relevant insight Experience with A/B testing, experimentation, causal inference, forecasting or scenario modelling An understanding of data science workflows and experimentation Experience mentoring analysts or improving analytical practices An interest in applying AI and emerging technologies to analytics This is a fantastic opportunity to work at significant scale in a leading well known organisation, tackling complex business problems and helping shape how analytics is used across the organisation.

Data Analyst Location - Northern Hub Marston Holdings Limited is a parent company formed of eight brand entities that each specialise in key areas of our overarching business. In a nutshell, we are the UK's largest judicial services company and pioneers in clean air technology, offering services that support local and central government, utilities, and private sectors through the delivery of market leading integrated technology-enabled solutions from design and implementation to management and recovery. Help turn data into decisions that make a real difference. If you enjoy solving problems finding patterns in data and helping people, make better decisions this could be a great opportunity for you. We are looking for a commercially aware and curious Data Analyst to join our Data Team. You will create accurate engaging reporting for internal teams and clients turning complex information into clear insight practical recommendations and meaningful action. What you will be doing: Work with colleagues and stakeholders to understand what they need from data then help turn those requirements into clear reliable reports and insight. Explore new datasets understand how they are structured and use them to build reporting that is accurate insightful and easy to understand. Spot trends highlight improvement opportunities and explain what the data is telling us in a way that helps the business take action. Collaborate with operational managers and service teams to understand performance challenges identify where insight can add value and develop plans to achieve. Share findings clearly and confidently with different audiences from operational colleagues through to senior leaders. Build your understanding of the key operational financial and performance measures that matter to the business. Identify opportunities for automation and efficiency and work with colleagues to deliver. Manage your workload and projects effectively with support from senior colleagues when priorities change or deadlines are tight. What we are looking for: You do not need to know everything from day one, but you should enjoy working with data asking good questions and finding practical ways to solve problems. We are looking for someone who can bring: Around 3 years' experience in a Data Analyst or similar analytical role. Experience creating reports dashboards or analysis that help people understand performance and make decisions. Confidence working with numbers and interpreting data accurately. The ability to explain insight clearly to both technical and non-technical audiences. A proactive positive approach and a genuine interest in continuous improvement. Good problem-solving skills and the curiosity to investigate issues through to resolution. Confidence to ask questions challenge assumptions and suggest better ways of working. Flexibility to adapt as business operational or client priorities change. Technical skills we are looking for Advanced Microsoft Excel skills. Advanced Microsoft Power BI skills. Strong working knowledge of:- SQL Power Query M-DAX Skills and experience that would be useful Experience within enforcement compliance or other regulated services. Familiarity with case management systems or operational performance metrics in a field-based workforce. Degree-level education in mathematics statistics economics or a similar subject and nbsp Why join us? You will join an established Data Team made up of Analysts Data Scientists and Data Engineers with the opportunity to work on reporting and insight that is used across the business. You will have space to take ownership develop your technical skills and see the impact of your work in real decisions operational improvements and client conversations. What you will get in return: 25 annual leave days plus bank holidays Enhanced Maternity and Paternity Package NB subject to eligibility criteria. Health Cash Back Plan Staff benefits designed to suit you, from discounts on high street and online shopping to travel, socialising and wellbeing. Pension Scheme If this sounds like the job for you, please apply . New starters will be subject to clearance through the Disclosure and Barring Service and a County Court Judgment check. In addition, the post holder is expected to keep the Company updated if their personal circumstances change. We are an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and their passion for creating better outcomes, and we're committed to creating an inclusive environment for all employees

Senior C++ Software Engineer - Scientific Software Location: Glasgow, hybrid WFH (50/50 split between home and office) Salary: Up to 65,000 DOE KO2's client develops advanced cheminformatics software. Their software helps scientists understand and work better with chemical data. They're looking for an experienced Senior C++ Software Engineer to join their small, growing team in Glasgow. You'll modernise their core C++ codebase and turn complex scientific algorithms into robust, high-performance code. The company is international and close-knit. The Glasgow team works closely with colleagues in small offices in Germany and France, so you'll be part of a collaborative, multicultural engineering group. You'll work closely with chemistry subject-matter experts and implement their algorithms using sound design patterns and modern C++. You'll be one of the main code reviewers, protect the quality and consistency of the architecture, and mentor junior developers as they continue to grow. Key responsibilities Maintain and modernise a legacy C++ codebase, migrating it gradually to modern C++ Implement new cheminformatics algorithms specified by the SMEs Review algorithm specifications for feasibility and clarity before implementation Act as a primary code reviewer, protecting the team's architectural consistency and code quality Own the test strategy for your work, covering unit and integration tests, edge cases and regression protection Maintain the CMake build system and related Linux tooling Mentor junior developers on clean code, architecture and design patterns Work with colleagues in Glasgow, Germany and France Document your implementations clearly Essential skills and experience Significant commercial modern C++ experience, 17 onwards ideally. An architectural mindset, with OOP, SOLID principles and design patterns as part of your everyday work Confidence applying modern idioms to legacy code you didn't write Strong code review skills. You give thorough, constructive feedback and can spot subtle logic errors and design drift A solid understanding of concurrency, including writing, debugging and reasoning about multithreaded code, synchronisation and data races Experience with the Linux development toolchain: CMake, GCC/Clang, gdb, and dynamic linking (RPATH, SONAME) Familiarity with static and runtime analysis tools such as clang-tidy, Valgrind and sanitisers Desirable skills Experience of AI-assisted development, such as using Claude Code and directing coding agents on architectural decisions Implementing algorithms from specifications, and reasoning about their efficiency and complexity Network programming (TCP/IP and sockets) Python, and testing frameworks such as pytest and Catch2 Docker and containerised build environments Maintaining CI/CD pipelines What's on offer A competitive salary, depending on experience Flexible hybrid working, split 50/50 between home and the Glasgow office A small, growing Glasgow team that you can help shape Working with international colleagues in Germany and France Challenging, meaningful work on scientific software A senior role with real influence over architecture and code quality How to apply Send your up-to-date CV to KO2 Embedded Recruitment Solutions, or contact Laurence Powell today for more details.

Data Scientist £45,000 - £55,000 Merseyside (3 days a week in office) This is an excellent opportunity to join a growing Data Science function at a business investing heavily in its data and AI capabilities. You'll work on high-impact customer and commercial projects, helping to shape how machine learning is adopted across the organisation while gaining exposure to cutting-edge tools and a rapidly evolving data environment. THE COMPANY This organisation is investing heavily in its Data and AI capabilities, with a focus on building a scalable Data Science function that delivers real business impact. As Data Science becomes increasingly central to decision-making, you'll have the opportunity to work on high-profile customer and commercial projects with strong backing from senior leadership. They foster a collaborative, pragmatic culture where Data Scientists are encouraged to move beyond experimentation and deliver solutions that create measurable value. The focus is on deploying models into production and embedding data-driven thinking across the business. THE ROLE As a Data Scientist, you will work closely with senior stakeholders, analysts, engineers, and fellow Data Scientists to deliver machine learning solutions across a range of customer and commercial use cases. Specifically, you can expect to be involved in the following: Building and deploying predictive machine learning models Developing customer segmentation and customer lifetime value models Creating forecasting solutions to support business planning Delivering propensity and churn models to improve customer engagement Translating complex analytical findings into clear business recommendations Collaborating with engineering teams to support model deployment and operationalisation Supporting the development of a modern Data Science platform Working with cloud-based machine learning tools and technologies Engaging directly with stakeholders to understand challenges and define analytical solutions SKILLS AND EXPERIENCE The successful Data Scientist will have the following skills and experience: Strong commercial experience in Data Science and machine learning Advanced Python and SQL skills Experience using statistical modelling and predictive analytics techniques Knowledge of machine learning algorithms such as XGBoost and related ensemble methods Experience delivering projects across the full Data Science lifecycle, from problem definition through to deployment Ability to communicate technical concepts clearly to non-technical audiences Experience working with customer analytics, segmentation, churn, propensity modelling, forecasting, or related use cases Exposure to cloud environments such as Azure or GCP is beneficial Experience with Azure ML, Vertex AI, or similar machine learning platforms is advantageous BENEFITS The successful Data Scientist will receive the following benefits: Salary between £45,000 - £55,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Data Scientist £45,000 - £55,000 Merseyside (3 days a week in office) This is an excellent opportunity to join a growing Data Science function at a business investing heavily in its data and AI capabilities. You'll work on high-impact customer and commercial projects, helping to shape how machine learning is adopted across the organisation while gaining exposure to cutting-edge tools and a rapidly evolving data environment. THE COMPANY This organisation is investing heavily in its Data and AI capabilities, with a focus on building a scalable Data Science function that delivers real business impact. As Data Science becomes increasingly central to decision-making, you'll have the opportunity to work on high-profile customer and commercial projects with strong backing from senior leadership. They foster a collaborative, pragmatic culture where Data Scientists are encouraged to move beyond experimentation and deliver solutions that create measurable value. The focus is on deploying models into production and embedding data-driven thinking across the business. THE ROLE As a Data Scientist, you will work closely with senior stakeholders, analysts, engineers, and fellow Data Scientists to deliver machine learning solutions across a range of customer and commercial use cases. Specifically, you can expect to be involved in the following: Building and deploying predictive machine learning models Developing customer segmentation and customer lifetime value models Creating forecasting solutions to support business planning Delivering propensity and churn models to improve customer engagement Translating complex analytical findings into clear business recommendations Collaborating with engineering teams to support model deployment and operationalisation Supporting the development of a modern Data Science platform Working with cloud-based machine learning tools and technologies Engaging directly with stakeholders to understand challenges and define analytical solutions SKILLS AND EXPERIENCE The successful Data Scientist will have the following skills and experience: Strong commercial experience in Data Science and machine learning Advanced Python and SQL skills Experience using statistical modelling and predictive analytics techniques Knowledge of machine learning algorithms such as XGBoost and related ensemble methods Experience delivering projects across the full Data Science lifecycle, from problem definition through to deployment Ability to communicate technical concepts clearly to non-technical audiences Experience working with customer analytics, segmentation, churn, propensity modelling, forecasting, or related use cases Exposure to cloud environments such as Azure or GCP is beneficial Experience with Azure ML, Vertex AI, or similar machine learning platforms is advantageous BENEFITS The successful Data Scientist will receive the following benefits: Salary between £45,000 - £55,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Lead AI-Enabled DevOps Engineer / DV Clearable / 5 days a week on-site Technical leadership at the intersection of software, platforms, and AI We're seeking a Lead AI-Enabled DevOps Engineer to join a growing engineering capability and play a central role in shaping how AI is embedded into real, production-grade software systems . This is not a traditional people-management role . Instead, you'll lead through technical depth, architectural judgement, and delivery experience by setting direction, guiding teams, and making informed decisions as AI capabilities are integrated into modern software platforms. If you enjoy working where architecture, APIs, DevOps, and AI meet , and you care about building systems that are secure, operable, and genuinely useful, this role offers the chance to have real impact. What you'll be doing Your focus will be on enabling AI within modern, API-first software platforms , particularly where legacy or existing systems need to evolve to support new capabilities safely and effectively. You will: Provide technical leadership across AI-enabled software and DevOps engineering teams Set architectural direction for API-first design, system integration, and platform enablement for AI Lead the modernisation of legacy or existing applications toward service-based, API-driven architectures Define and guide integration patterns between applications, platforms, and AI services Make pragmatic decisions about when and how emerging AI integration approaches (e.g. protocols such as MCP) should be adopted Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions Ensure solutions meet standards for security, resilience, performance, and operability Anticipate and manage architectural and operational risks associated with AI-enabled systems Champion strong engineering practices across software development, DevOps, and platform engineering Lead by example in complex environments where production reliability matters This is delivery-focused leadership , not experimentation for its own sake. What we're looking for We're looking for someone who combines senior technical credibility with the confidence to guide others and shape direction. Essential experience: Strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer , or similar hands-on leadership role Excellent software engineering fundamentals: system design, clean code, testing, and long-term maintainability Deep experience designing and delivering API-driven and microservice-based systems Proven ability to modernise or integrate legacy systems into modern platforms Solid development experience in TypeScript and Python Experience spanning software delivery, CI/CD, infrastructure, and operations Comfortable setting direction and influencing teams without relying on formal authority Able to balance innovation with pragmatism in production environments Desirable experience: Integrating software systems with AI platforms or AI-enabled services Exposure to emerging AI integration patterns or protocols (e.g. Model Context Protocol ) Platform engineering or DevOps at scale Experience working in regulated or security-conscious environments Defining technical standards or architectural direction across multiple teams You'll be trusted to make decisions that matter, and supported by teams who value strong engineering leadership. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.

Senior Platform Engineer - DV Clearable - 5 Days On-Site Build and operate the platforms that make AI and machine learning work at scale We're looking for a Senior Platform Engineer to join our team and play a key role in designing and operating the platform that underpins AI and machine learning delivery . This is a hands-on senior platform role , focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine learning and LLM workloads are trained, packaged, deployed, and served, this is not a "deploy models all day" role . Instead, your impact will come from creating the infrastructure, tooling, workflows, and guardrails that allow others to do that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI / ML platform , not just running clusters. You will: Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams Extend Kubernetes with MLOps-specific capabilities , rather than treating it as a finished product Provideplatform-level support for: Model development and experimentation Model packaging, deployment, and promotion Scalable inference and LLM-based workloads Build shared platform services that enable consistent, repeatable model deployment , even where day-to-day deployment is owned by MLOps or ML engineers Work closely with data scientists and MLOps engineers to ensure the platform is genuinely usable and fit for purpose Own platform operability, reliability, security, and lifecycle management in production Troubleshoot complex issues that cut across infrastructure, Kubernetes, and MLOps layers Contribute to architectural decisions while remaining hands-on with implementation What we're looking for This role is ideal for someone who sees themselves first and foremost as a platform engineer , with the depth to support AI and ML workloads properly. Essential experience: Strong background as a Senior Platform Engineer or Senior DevOps Engineer Deep, hands-on experience building and operating Kubernetes-based platforms Strong practical experience with Helm and Infrastructure as Code (e.g. Terraform) Proven experience building internal platforms for other engineers , not just running workloads Strong grasp of operational fundamentals: monitoring, logging, reliability, incidents, and maintainability Comfortable collaborating closely with MLOps engineers and data scientists , even where responsibilities differ ML platform & MLOps knowledge (important) You don't need to be a full-time MLOps engineer - but you do need practical understanding of how ML and AI workloads behave in production. Experience or exposure to areas such as: MLOps platforms (e.g. Kubeflow or similar frameworks) Model serving and inference platforms (e.g. KServe, vLLM , or equivalent) Supporting LLM-based workloads , including performance and scaling considerations Notebook environments such as JupyterHub Awareness of emerging tooling around Responsible / Trustworthy AI or comparable solutions This ensures you're building a platform that actually works for AI use cases - not a generic compute layer. Desirable experience Working in organisations with a clear AI or data platform strategy Supporting data scientists or ML engineers at scale Experience in regulated, secure, or high-assurance environments Designing platforms that balance flexibility, governance, and control If you enjoy solving hard platform problems and understand that AI places real, specific demands on infrastructure, this role gives you the space and responsibility to make a genuine impact. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.

Senior Data Analyst - Location: London (Hybrid) Duration: 6 month initial contract Day Rate: Competitive (via umbrella) Role Purpose The Senior Data Analyst plays a key role, delivering data-driven insight that supports customer growth, campaign optimisation, and investment outcomes. Working within an Agile squad, the role combines analytical expertise, business engagement, and data visualisation to identify opportunities, measure performance, and drive commercial value. Key Responsibilities Insight & Analytics Conduct analysis to identify customer behaviours, trends, opportunities and risks. Translate business questions into actionable insights and recommendations. Analyse customer journeys, campaign performance and channel effectiveness. Support decision-making through data-driven storytelling and commercial insight. Campaign & Targeting Build and validate customer audiences and segmentation strategies. Measure campaign performance and customer response. Identify opportunities to improve targeting, conversion and customer engagement. Support testing, optimisation and performance measurement activities. Data Visualisation & Reporting Design and develop dashboards and visualisations using Amazon QuickSight and Tableau . Build self-service reporting solutions for business stakeholders. Produce regular KPI reporting, insight packs and performance dashboards. Present complex findings through clear and compelling visual storytelling. Agile Delivery Participate in sprint planning, stand-ups and retrospectives. Deliver analytical work within agreed sprint timelines. Maintain and update work items within Jira. Collaborate with Product Owners, Engineers and Decision Scientists to deliver business outcomes. Stakeholder Engagement Build strong relationships across Marketing, Product, Journey and Technology teams. Gather and refine business requirements. Communicate analytical findings to both technical and non-technical audiences. Influence priorities through evidence-based recommendations. Skills & Experience Essential Strong SQL and data analysis skills. Experience developing dashboards in QuickSight and Tableau . Strong visualisation and data storytelling capability. Experience working with large customer datasets. Excellent stakeholder management and communication skills. Experience working within Agile teams. Strong problem-solving and analytical thinking skills. Desirable Wealth Management, Investments or Financial Services experience. Customer segmentation and targeting expertise. Campaign measurement and attribution experience. Snowflake, Python or SAS knowledge. Understanding of customer journeys and digital analytics. Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.

Senior Software Engineer - Modern C++ / Linux Location: Oxford (hybrid, 3 days a week on site) Salary: Up to 75,000 plus benefits KO2's client is a long-established UK manufacturer of advanced scientific instruments. Universities, research centres and industry around the world use them to study materials at the nanoscale. Their systems support research in quantum computing, dark matter and new materials, so your software will be used in cutting-edge science. The business is growing, has a stable future, and still designs and manufactures everything in the UK. This is a new role created to grow the software team. As Senior Software Engineer, you'll be a technical leader in an established backend team. You'll help the Software Manager guide the team and develop less experienced engineers. You'll be the main technical authority for the backend software that controls the company's instruments. It's a Modern C++ (C+) application running on a Debian Linux industrial PC that acts as a local edge server. It coordinates communication with pumps, valves, pressure gauges, temperature sensors and other devices, so the system reaches the state the user has asked for. Key responsibilities Design, develop and maintain backend software in Modern C++ on Linux, within an Agile team Own and develop the APIs used by the web GUI and by customer scripts Write automated tests and unit tests in Python Take technical responsibility for solutions on specific projects, and run and take part in design reviews Contribute to architectural design and act as the team's go-to expert in your areas of strength Lead, mentor and develop less experienced software engineers Work with scientists, engineers and product managers to turn requirements into tested software Support existing and new products, including technical support during installation and operation of customer systems Keep code repositories and documentation up to date so that others can maintain and extend the software Essential skills and experience Strong commercial experience of Modern C++ on Linux. C+ or newer required Experience of server-client architecture and backend development Python skills, particularly for automated testing Knowledge of Ethernet, TCP/IP and other communication protocols At least 5 years of commercial software development experience, with the technical depth to make high-level design decisions Excellent communication skills, including leading technical discussions and working with other departments A degree in Software Engineering, Computer Science, Mathematics or a scientific subject Desirable skills Experience of publish-subscribe messaging, ideally WAMP Industrial or instrumentation protocols such as Modbus, CAN or RS232, and interfacing with devices such as pumps, sensors and actuators Developing application-level device drivers for Linux Cloud infrastructure (Azure or AWS) and containerisation Apply today with an up to date CV and a member of the KO2 team will be in touch to discuss.

Senior Data Consultant 60k - 80k per annum + Bonus and Benefits London, Manchester or Glasgow / Hybrid Multiple Positions Available At Different Levels Are you passionate about helping organisations unlock the power of trusted data and AI? Do you enjoy solving complex business challenges, influencing senior stakeholders and shaping data strategies that deliver real impact? This is your opportunity to join a leading global technology consulting organisation at the forefront of Data, Analytics and AI. Working with high-profile clients across a range of industries, you'll help design the data foundations that power AI, advanced analytics and intelligent business transformation. Whether you're an experienced Consultant ready for your next challenge or a Senior Consultant looking to lead strategic engagements, this is a fantastic opportunity to work on cutting-edge projects while developing your expertise in one of the fastest-growing areas of technology consulting. What you'll be doing As a trusted advisor, you'll help clients build robust data management capabilities that enable innovation, responsible AI and better business decisions. You'll: Advise clients on data management, governance and AI strategies, helping shape vision, roadmaps and business cases that maximise the value of data. Design and implement data management operating models, including governance frameworks, stewardship, policies, standards and processes. Lead or contribute to data governance, data quality, metadata management, master data management (MDM), data lineage and catalogue initiatives. Translate complex technical concepts into clear business outcomes, influencing senior stakeholders and driving organisational change. Work closely with architects, engineers, developers and data scientists to embed governance, quality and compliance into modern data platforms and AI solutions. Support the delivery of trusted, ethical and compliant AI through strong data foundations and governance practices. At Senior Consultant level, lead workstreams, mentor colleagues, contribute to thought leadership and support business development activities including proposals, bids and client presentations. What we're looking for You'll bring a blend of consulting expertise, technical knowledge and stakeholder management skills, including: Proven experience designing and delivering data management, data governance or Master Data Management (MDM) solutions within consulting or industry. Experience delivering initiatives such as data catalogues, metadata management, data lineage, data quality, master data consolidation or governance frameworks. Hands-on experience with at least one leading data governance or data management platform, such as Informatica, Collibra, Alation, Ataccama or Microsoft Purview. Experience defining and embedding data stewardship models, governance processes and operating frameworks. Strong communication, consulting and stakeholder management skills, with the ability to influence both technical and non-technical audiences. A collaborative mindset with excellent problem-solving abilities and a genuine interest in AI, emerging technologies and data-driven transformation. Desirable: Experience with AI governance, Responsible AI, AI data preparation, model lifecycle management, bias detection, explainability or the DAMA DMBOK framework. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Management Consultant, Data Governance Consultant, Senior Data Consultant, Data Strategy Consultant, Master Data Management (MDM) Consultant, Data Governance Lead, Data Architect, Enterprise Data Architect, Data Engineer, Information Management Consultant, Metadata Specialist, Data Quality Consultant, Data Stewardship Lead, Microsoft Purview, Collibra, Informatica, Alation, Ataccama, DAMA DMBOK, AI Governance, Responsible AI, Data Lineage, Metadata Management, Data Catalogue, Data Quality, Master Data Management. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

An exciting opportunity for an experienced Senior Software Developer to join a highly technical engineering team building sophisticated software used across trading and quantitative research . This is a role for a strong C#/.NET engineer who enjoys solving difficult technical problems, working on performance-critical systems and having genuine input into how software is designed and built. You'll work across both greenfield development and established platforms , creating scalable, reliable and high-performance applications that directly support trading strategies and quantitative research. As a senior engineer, you'll have significant influence over architecture, technical direction and engineering standards , while collaborating closely with quantitative researchers, traders and other experienced technologists. What You'll Be Doing Design and build high-performance applications using C# and modern .NET Take ownership of complex development projects from initial design through to production Influence architecture, technical design and engineering direction Build scalable systems supporting automated trading, quantitative research and data-driven applications Work directly with researchers and traders to turn complex requirements into robust software solutions Design and optimise relational database solutions using SQL Server, Oracle or similar Identify and resolve performance bottlenecks across applications and databases Develop reliable, maintainable and highly scalable software Work with multi-threading, concurrency and asynchronous programming Investigate complex technical challenges and deliver long-term solutions Contribute to code reviews, automated testing, CI and development tooling Mentor other developers and help raise engineering standards across the team What We're Looking For 5+ years' commercial software development experience Strong C# and modern .NET development experience Excellent knowledge of OOP, software design principles and architecture Experience designing and building production-grade, scalable applications Strong SQL experience with SQL Server, Oracle or another relational database Experience developing systems where performance, reliability and scalability matter Strong understanding of the full software development lifecycle Excellent analytical and problem-solving skills Strong communication skills and the ability to work effectively with technical and non-technical stakeholders Degree in Computer Science, Mathematics, Physics, Engineering or another relevant technical discipline Highly Desirable Experience in any of the following would be particularly valuable: Multi-threaded and concurrent application development Asynchronous and parallel programming Low-latency or high-throughput systems TCP/IP, UDP or network programming Distributed systems and service-oriented architectures Performance profiling and optimisation Automated testing and continuous integration Windows development technologies Git and modern development workflows Financial markets, quantitative research or algorithmic trading Working alongside quantitative analysts, researchers, traders or data scientists Why This Role? This is an opportunity to work on technically challenging software where performance and engineering quality genuinely matter . You'll have the freedom to influence architecture and technical decisions, tackle complex engineering problems and see the direct impact of the systems you build in a demanding, data-driven environment. If you're an experienced C#/.NET developer looking for more technical ownership and the opportunity to work on sophisticated trading and research technology, this could be an excellent next move. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Applied AI Scientist - Must be DV Clearable Location: London 5 days a week on-site We're looking for a hands-on Applied AI Scientist to design, build and deploy real-world AI solutions in complex, constrained environments. This is a senior technical role focused on delivery and impact - ideal for someone who enjoys solving challenging problems and influencing through expertise. What you'll be doing Designing, building and deploying AI/ML solutions end-to-end Working closely with users to translate real-world problems into technical solutions Developing models using production-grade Python Deploying AI solutions in secure, offline / air-gapped environments Working with GPU hardware for training and inference Optimising performance, scalability and system resilience Influencing technical direction through delivery and expertise Sharing knowledge and supporting continuous learning across the team What we're looking for Essential: Strong experience as an Applied AI Scientist / Data Scientist Excellent Python engineering skills (production-level) Experience building and deploying AI solutions without reliance on cloud-managed services Solid understanding of modern AI/ML techniques Experience with GPU-based model training/inference Ability to work independently and own delivery end-to-end Strong problem-solving skills and stakeholder engagement Nice to have: Experience in secure or air-gapped environments Experience with edge or constrained systems Background delivering AI in real-world operational environments Ability to influence technical decisions without formal authority Why join? Work on complex, real-world AI challenges High-trust, collaborative environment focused on impact Opportunity to shape solutions in cutting-edge, constrained environments If you're a hands-on AI engineer who thrives on solving real problems and delivering impact, apply now. Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.

Tetra Tech 2027 Graduate Scheme: Your Launchpad to a Consultancy Career Join Tetra Tech's two-year Graduate Scheme and begin your career with hands-on experience, expert mentorship and a tailored development plan. You'll work on a variety of real-world projects, develop technical and professional skills, and be encouraged to share your ideas and shape your future. We are seeking talented graduates to join our growing Water Quality and Coastal Modelling teams in Belfast. You'll contribute to technically challenging and environmentally important projects involving water quality assessment, hydrodynamic and coastal modelling, environmental impact assessment, marine consenting, offshore renewable energy, and coastal flood and erosion risk management. Purpose & Scope of the Role As a Graduate Water Quality and Coastal Modelling Consultant, you'll work alongside experienced engineers, modellers and environmental scientists to support the delivery of water, coastal and marine projects. You'll gain exposure to a diverse range of technical activities, which may include coastal modelling of tides, waves, sediment transport and dispersion, as well as water quality assessments involving catchment delineation, rainfall and river-flow modelling, calibration and solution development. Working with hydrological, met-ocean, spatial and environmental data, you'll learn how to analyse and interpret information to support technical reports, Environmental Statement chapters, marine consenting applications and client presentations. You'll work closely with engineers, environmental scientists, planners, GIS specialists and project managers to help deliver practical, evidence-based solutions. From the outset, you'll be supported by experienced industry specialists and given opportunities to develop your technical knowledge across water, coastal and marine environments. This is an excellent opportunity to build your career within a leading consultancy while contributing to projects that support sustainable development and protect our natural environment. Your Impact in this Position: As a Graduate Water Quality and Coastal Modelling Consultant, you'll support the delivery of modelling, data analysis and environmental assessment projects across Ireland and the UK. In the short term, you'll contribute to defined technical tasks, including organising and quality-checking data, supporting modelling activities, preparing figures and tables, and contributing to technical reports. You'll also have opportunities to attend client meetings, participate in site visits and gain an understanding of the wider project delivery process. As your experience develops, you'll take greater ownership of technical tasks and contribute to defined work packages under the guidance of senior colleagues. You'll gain valuable experience supporting environmental assessments, marine consenting applications and projects relating to water quality, offshore energy, marine development, coastal flooding and erosion risk management. With the support of senior colleagues, structured mentoring and a comprehensive graduate development programme, you'll build the technical knowledge, practical experience and professional confidence needed to progress your career. You'll also have the opportunity to develop specialist expertise in water quality, hydraulic, hydrodynamic or coastal modelling. What to Expect: Mentorship & Support: Learn from experienced professionals and receive guidance from a dedicated technical mentor in your chosen discipline. Structured Learning: Benefit from a blend of formal training, project-based learning, and self-directed study. Personal Development: Build your consultancy skills through a mix of technical and interpersonal training, with regular feedback and reviews. Community: Start with a central induction alongside your graduate peers and become part of a collaborative, supportive network. Programme Highlights: Central induction and ongoing support from your line manager and mentor. In-depth technical training in your core discipline, plus exposure to a tailored series of technical and interpersonal topics. Quarterly development reviews to track your progress. Opportunities to shadow senior colleagues and contribute to diverse projects. Your Pathway: You'll be assigned a location, cost centre, line manager, and a 'home' technical discipline based on your qualifications and business needs. If you wish to explore a different discipline at the end of the programme, we'll consider this based on your interests and business requirements. Chartered Management Institute (CMI) Partnership As part of the scheme, you'll have access to the CMI Foundation Chartered Manager pathway through flexible, online Bite Size programs. Choose from a range of topics- including Managing Change, Leading in a Digital Age, Conflict Resolution, Project Management, and Data-Driven Decision Making - to build your leadership and management skills. CMI Bite Size Benefits: Short, focused modules you can complete at your own pace Practical insights to strengthen your management capabilities Internationally recognised certification upon completion Option to progress to a Level 5 Award in Leadership and Management Each program consists of three concise modules (totalling 85-135 minutes), scheduled in your second year. Complete activity sheets to demonstrate your learning and earn your Foundation Chartered Manager certification. Qualifications You must have achieved, or be on track to achieve, a relevant degree in Geography, Environmental Science, Coastal Science, Oceanography, Coastal or Maritime Engineering, Engineering or another relevant STEM or environmental discipline. We welcome applications from candidates who may not have direct experience of numerical modelling but can demonstrate strong analytical ability, an interest in the water and environmental sectors, and a willingness to learn. Working Environment Initially, you will be based full-time in our Belfast office during your probation period to support your onboarding, development and mentoring. Following successful completion of your probation, the role will move to a hybrid working arrangement, with an expectation of three days per week in the office to support ongoing collaboration and team coordination. The office is located on the edge of the city, with on-site parking, strong public transport connections and easy access to major road networks. Flexible working arrangements may be accommodated where project responsibilities allow. You'll work in a multidisciplinary environment with exposure to significant projects across marine, coastal, regeneration, renewable energy and water-related developments. We place a strong emphasis on employee wellbeing, professional development and creating a supportive environment in which graduates can build their confidence and capability. Application and Selection Process To apply for the Tetra Tech 2027 Graduate Scheme, candidates must submit an up-to-date CV detailing their academic background, relevant experience, and motivation for joining the programme. All applications will be acknowledged upon receipt. Following initial screening, shortlisted candidates will be invited to complete online psychometric testing designed to evaluate key competencies and problem-solving skills relevant to consultancy work. Those who progress beyond this stage will be invited to attend an in-person Graduate Day. The closing date for applications in this round is 31st October 2026. We encourage early submissions to ensure full consideration. Ready to build your expertise and shape your future? Apply now and start your journey with Tetra Tech. Why join Tetra Tech? Tetra Tech is a leading provider of consulting and engineering services working across the full project lifecycle worldwide. We have a wide range of expertise across our teams, providing a global support network with a personalised approach to client relationships to better understand where we can add value. We provide a collaborative environment that supports individual performance, innovation, and creativity. We support public and private sector clients on local, national, and international projects to deliver sustainable and resilient solutions. Our operations in the UK, Ireland, and the Netherlands include more than 6,000 employees who are Leading with Science to solve our clients' most complex problems. In alignment with the Equality Act 2010, we will make reasonable adjustments to support candidates and employees requiring additional arrangements. This could include adaptations to work schedules, training approaches, or the physical workspace. Please inform us if you need any accommodations during the recruitment process or in your day-to-day role. Why join Tetra Tech? Tetra Tech is a leading provider of consulting and engineering services working across the full project lifecycle worldwide. We have a wide range of expertise across our teams, providing a global support network with a personalised approach to client relationships to better understand where we can add value. We provide a collaborative environment that supports individual performance, innovation, and creativity. We support public and private sector clients on local . click apply for full job details

Description We're looking for a highly skilled Forward Deployed Agentic AI Engineer to join our Health, Wealth & Career (HWC) segment-where you'll design and deliver cutting-edge Agentic AI solutions that solve complex, real-world business challenges and shape the future of work. This is a hands-on, high-impact role where you'll move beyond traditional development-partnering closely with stakeholders to translate ambiguous needs into scalable, AI-powered solutions that drive measurable value. You'll own the full lifecycle-from architecture and build through to deployment and adoption-embedding AI into real workflows, integrating enterprise systems, and ensuring solutions are secure, reliable, and truly user-centric. Sitting close to the business, you'll continuously refine solutions to maximise impact, efficiency, and adoption. Why join us? At WTW, you'll be part of our Health, Wealth & Career (HWC) segment-where we use data, technology, and deep expertise to shape the future of work. You'll collaborate across multiple lines of business-such as Retirement, Health & Benefits, and Workforce Strategy-gaining exposure to diverse challenges and opportunities. As the role evolves, you'll also help deliver innovative, AI-driven solutions directly to external clients, turning complex problems into scalable outcomes. Together, we're creating more resilient, high-performing organizations-enhancing wellbeing, enabling better decisions, and driving sustainable business success at scale. This is a hybrid role, with the flexibility of remote working alongside occasional time in the office to build strong relationships and collaborate effectively with stakeholders. The Role We are looking an experienced Lead Engineer or Technical Lead with a strong enterprise engineering background and a passion for building and deploying agentic AI solutions that solve real-world business challenges. You will bring deep expertise across modern full-stack technologies, distributed systems, cloud-native architectures, and observability, combined with hands-on experience developing enterprise-grade AI applications. You will design, build, and deploy intelligent AI agents, copilots, and automation solutions using Anthropic Claude, large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP), and agent orchestration frameworks. Experience developing multi-agent workflows, integrating AI solutions with enterprise systems, and taking solutions from proof of concept to production at scale will be highly valued. Acting as a bridge between business and technology, you will work closely with product, data science, architecture, and engineering teams to identify opportunities, solve complex challenges, and deliver measurable business outcomes. As a technical leader, you will mentor engineers, influence architecture decisions, resolve production challenges, and help shape how agentic AI is adopted and scaled across the organisation, transforming innovative prototypes into secure, reliable, and enterprise-grade solutions. AI solution delivery: Design and build AI-enabled applications, copilots, agents, extraction pipelines, prediction interfaces, and decision-support tools using foundation models, retrieval-augmented generation, structured outputs, and orchestration frameworks. Forward deployed problem solving : Work directly with business teams, product owners, clients, or operational users to understand real workflows, constraints, data quality issues, and adoption barriers, then translate these into working technical solutions. LLM and agent engineering: Build and tune LLM workflows, prompt strategies, schema-driven extraction, tool-calling patterns, agent orchestration, evaluation loops, and human-in-the-loop controls. Enterprise integration: Integrate AI solutions with enterprise systems, APIs, data platforms, document repositories, workflow tools, observability platforms, and identity and access management services. Production engineering: Ensure AI solutions meet enterprise standards for reliability, scalability, latency, maintainability, cost control, logging, monitoring, and operational support. Evaluation and quality assurance: Create evaluation datasets, test harnesses, validation tools, regression checks, and quality review workflows to measure accuracy, extraction quality, hallucination risk, and business usefulness. Architecture and technical leadership: Define solution architecture, engineering standards, reusable patterns, and implementation approaches for AI-enabled platforms and services. Data and knowledge readiness: Work with engineering, data, and business teams to prepare structured and unstructured data, improve metadata, design retrieval strategies, and identify gaps in source content. Security, privacy, and governance: Embed access controls, audit logging, data protection, responsible AI controls, security review, and compliance requirements into the AI delivery lifecycle. Adoption and enablement: Support users through demos, pilots, training, feedback loops, documentation, and iterative improvement so that deployed AI solutions create measurable business value. Qualifications What you'll bring Significant professional experience in software engineering, technical leadership, solutions architecture, or platform engineering, ideally in enterprise-scale environments. Proven ability to design and deliver production applications using modern engineering practices, including APIs, distributed systems, microservices, automated testing, CI/CD, observability, and cloud platforms. Must have experience building and deploying agentic AI solutions using platforms such as Anthropic Claude, including AI agents, tool orchestration, reasoning workflows, Model Context Protocol (MCP), and enterprise-scale automation use cases. Hands-on experience building AI-enabled systems, such as LLM pipelines, document extraction, structured output generation, AI-assisted analytics, prediction interfaces, or agentic workflows. Experience working with business-critical systems where reliability, maintainability, operational support, and measurable business impact are essential. Experience collaborating with data scientists, product managers, QA teams, architects, security teams, and senior stakeholders. Track record of mentoring engineers, leading technical delivery, establishing engineering standards, and influencing teams beyond direct line management. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. Equal Opportunity Employer We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email

Join Tetra Tech as an LC-MS Analyst: Advance environmental analysis Purpose and scope of the role: This permanent, full-time role sits within Tetra Tech's Bedford analytical laboratory, a UKAS-accredited facility of over 100 scientists and support staff delivering large-scale monitoring programmes and client projects across water, utilities, agrochemicals and defence. You will work Monday to Friday, 14:00-22:00, operating LC-MS/MS methods from sample extraction through data processing and reporting. Typical projects range from routine compliance testing to multi-site monitoring campaigns and method development for emerging contaminants, with laboratory instrumentation and workflows designed to measure ultra-trace concentrations and support regulatory decisions. Your impact in this position: In the short term you will deliver high-quality LC analyses and maintain instrument uptime. Over the medium term you will contribute to method optimisation and troubleshooting, improving throughput and detection limits. In the longer term you can lead method development for novel contaminants, progress to senior analyst or technical lead roles, and influence client programmes and laboratory capability expansion. Core capabilities: Technical LC-MS proficiency: Proven operation of single and triple quadrupole LC-MS systems (ESI/APCI), routine maintenance, and troubleshooting. Analytical method execution: Competence in sample preparation (LLE, SPE, QuEChERS), trace organic workflows and strict adherence to SOPs and QC protocols. Data interpretation and reporting: Accurate processing of chromatographic/mass spectral data, QC review and clear, client-facing reporting. Problem solving and development: Experience developing or optimising methods for emerging/priority pollutants and responding to changing regulatory needs. Operational collaboration: Ability to coordinate with extraction staff, technicians and project teams to meet throughput and deliverable deadlines. Skills, qualifications and experience: BSc (2:1) in Chemistry or related subject, or equivalent industrial experience; experience in an accredited environmental analytical laboratory; strong time management and attention to detail. Desirable: familiarity with Agilent ChemStation/MassHunter, demonstrated experience with PFAS and ultra-trace analyses, further analytical training or certification. Work patterns & location: Based at Bedford laboratory. Core hours Monday-Friday 14:00-22:00 with expectation of on-site working Why join Tetra Tech? Tetra Tech is a leading provider of consulting and engineering services working across the full project lifecycle worldwide. We have a wide range of expertise across our teams, providing a global support network with a personalised approach to client relationships to better understand where we can add value. We provide a collaborative environment that supports individual performance, innovation, and creativity. We support public and private sector clients on local, national, and international projects to deliver sustainable and resilient solutions. Our operations in the UK, Ireland, and the Netherlands include more than 6,000 employees who are Leading with Science to solve our clients' most complex problems. In alignment with the Equality Act 2010, we will make reasonable adjustments to support candidates and employees requiring additional arrangements. This could include adaptations to work schedules, training approaches, or the physical workspace. Please inform us if you need any accommodations during the recruitment process or in your day-to-day role.

Senior Analyst - ICP-MS - Inorganic Chemistry Join Tetra Tech's Bedford laboratory team and apply cutting-edge analytical science to complex environmental challenges. Purpose and scope of the role: You will be a senior, hands-on analyst in the Inorganic section, responsible for day-to-day operation of advanced instrumentation, method development, sample analysis and scheduling to deliver high-quality data. You will manage and mentor extraction chemists and analysts, review results and non-conformances, and uphold the laboratory's accredited quality systems. The Bedford facility is a state-of-the-art centre for ultra-trace analysis, supporting multi-year, national-scale monitoring programmes such as the UK's Chemical Investigations Programme, and staffed by around 100 scientists and support personnel. Your impact in this position: In the short term you will ensure reliable, timely delivery of analytical results and maintain instrument uptime. Over the medium term you will lead method development and validation to expand capability and respond to emerging regulatory requirements. Longer term you will shape technical standards, mentor colleagues and progress into senior technical or management roles responsible for significant project portfolios and client-facing analytical programmes. Core capabilities: Analytical leadership: Provide technical direction for sample workflows, interpret complex data and resolve anomalous results to support client decision-making. Instrument operation and maintenance: Operate and maintain ICP-MS and CV-AFS (and related instrumentation), perform routine troubleshooting and manage preventative maintenance schedules. Method development and validation: Lead method development, validation and optimisation for environmental matrices, ensuring fit-for-purpose performance and regulatory compliance. Quality and data management: Implement and maintain UKAS-aligned quality procedures, complete PT and quality reports, and ensure accurate LIMS data entry and result review. Team leadership and collaboration: Supervise, train and mentor analysts and extraction chemists; coordinate with clients and project teams to design tailored analytical programmes. Skills, qualifications and experience: BSc in Chemistry or related discipline, or equivalent industrial experience, demonstrable experience in an accredited analytical laboratory, proven ICP-MS and CV-AFS competence, experience with sample preparation for environmental matrices, familiarity with LIMS and accredited quality systems, experience with Agilent instrumentation/software and Microsoft Office and knowledge of environmental contaminants and regulatory testing. Work patterns & locations Full-time, permanent position based at Tetra Tech's Bedford laboratory in the Inorganic section. This role requires onsite laboratory presence typical of analytical work Why join Tetra Tech? Tetra Tech is a leading provider of consulting and engineering services working across the full project lifecycle worldwide. We have a wide range of expertise across our teams, providing a global support network with a personalised approach to client relationships to better understand where we can add value. We provide a collaborative environment that supports individual performance, innovation, and creativity. We support public and private sector clients on local, national, and international projects to deliver sustainable and resilient solutions. Our operations in the UK, Ireland, and the Netherlands include more than 6,000 employees who are Leading with Science to solve our clients' most complex problems. In alignment with the Equality Act 2010, we will make reasonable adjustments to support candidates and employees requiring additional arrangements. This could include adaptations to work schedules, training approaches, or the physical workspace. Please inform us if you need any accommodations during the recruitment process or in your day-to-day role.