4 jobs found

Tetra Tech is looking for a Principal / Associate Geospatial Developer (GIS/AI/ML) to join our team and help us transform our Geospatial solutions with our Leading with Science mantra for our clients. Principal / Associate Geospatial Developer (GIS/AI/ML) Manchester or Southampton Tetra Tech is looking for a Principal / Associate Geospatial Developer (GIS/AI/ML) to join our team and help us transform our Geospatial solutions with our Leading with Science mantra for our clients. Why this is a great opportunityfor you: Shape the Future: Lead the design and delivery of next-generation geospatial AI/ML systems that will transform how clients in nuclear, defence, water and beyond manage critical infrastructure. Work with the Best: Collaborate daily with a vibrant, multi-disciplinary team of consultants including geospatial experts, data scientists and engineers, sharing ideas and driving innovation across the globe. Cutting-Edge Technology: Get hands-on with the full Esri product suite (ArcGIS Pro, Enterprise, AGOL), Microsoft Azure, MS SQL Server, PostgreSQL and the latest open-source platforms - plus AI/ML frameworks that power truly intelligent mapping and analytics. Diverse, High-Impact Projects: From single-discipline proofs-of-concept to large scale multi-sector deployments, youll tackle a broad array of challenges in exciting locations - no two days are the same. Influence & Grow: You will help shape and deliver our geospatial strategy, define best practices, mentor colleagues, lead new initiatives and directly contribute to our global success. If youre passionate about GIS, AI, and Machine Learning, thrive in dynamic teams and want to make a real-world impact with geospatial technology, we want to hear from you. The role will involve contributions across Geospatial & Data Engineering, AI & Innovation, and Collaboration & Leadership: Collaborating with Tetra Techs digital solutions teams across the globe. Leverage and fine-tune foundation models and AI/ML techniques to advance geospatial analytics, automation, and digital transformation within the Geospatial and wider Asset Management Business Unit. Mentor colleagues in best practices and support them in identifying opportunities to apply technology for automation and workflow optimisation. Develop user-friendly tools and analyses, automating data ingestion, transformation, and loading using Python. Build reproducible workflows and apply software engineering best practices, including CI/CD and version control. Design, implement and optimise business Extract, Transform and Load (ETL) pipelines. Collaborate on data modelling, storage and integration to support both geospatial and data science teams. Communicate effectively with technical and non-technical audiences through presentations, workshops, and client engagements. Stay current with geospatial and AI/ML industry trends and technologies. Document code, processes, and findings to support reproducibility, transparency, and knowledge sharing. Contribute to the growth and direction of the team by mentoring, improving processes, and fostering collaboration. About you Essential Skills: A relevant degree in GIS, computer sciences, geography or other relevant subject, with advanced knowledge of GIS software or work experience and qualifications reflecting a similar level of expertise. Experience with ESRI stack, particularly ArcGIS Pro, ArcGIS Online and Enterprise. Experience with ETL technologies like FME and ESRI Pipelines/Data Interoperability. Strong programming skills in Python (including ArcPy and data science libraries), with additional experience in .NET, Java or modern JavaScript libraries. Experience with Web GIS development, including React and integration with Enterprise/PostgreSQL backends. Experience with Enterprise Geodatabases, databases and SQL for handling large datasets. Experience with deployment, CI/CD, and version control (e.g., Azure DevOps, Git). AI literacy, with the ability to communicate concepts clearly and support skill development across the Asset Management team. Suitability for security clearance. Desirable Skills, but not essential: Proficiency in Arcade scripting across ESRI runtime environments. Familiarity with the Microsoft Azure cloud platform, including data and AI services, and MLOps Knowledge of geospatial data warehousing and analytics. Familiarity with leading AI/ML platforms and libraries Experience building and scheduling ETL workflows. Knowledge of spatial data management and geospatial queries. Experience with containerised application development (e.g. Docker). Experience in a consultancy environment, with the ability to embed within multidisciplinary teams, engage stakeholders, and deliver workflow optimisation Experience designing mobile friendly React applications and deploying them through enterprise platforms (e.g., Intune). Awareness of Microsoft Fabric and its role in modern data architecture and analytics. Our way of working We take pride in delivering projects effectively for clients. This often requires colleagues to be together- in offices or on site to ensure the best outcomes. However, when possible, we also advocate for flexibility around how, when, and where you work. There is no 'one approach fits all' each team manages their own way of working, we trust our employees and focus on outputs not inputs. Meeting up with colleague and clients face to face in office environments or on site is important for collaboration, face-to-face meetings, appraisals and development. Inclusion At Tetra Tech, we want everyone to feel like they truly belong. Our goal is to create aworkplace where every person is valued and respected for who they are. Everyone is welcome at Tetra Tech. Opportunities and success should only be determined by attitude, capability and collaborative spirit. Be yourself, without apology. For more information on our company, please visit our website at. To apply, please submit your resume and cover letter on the Careers portion of our website at Tetra Tech Europe Careers - Jobs () Tetra Tech is an equal opportunities employer and encourages applications from all suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, transgender status, religion or belief, marital status, or pregnancy and maternity/shared parental leave, in line with the Equalities Act 2010. JBRP1_UKTJ

The Defence & National Security Programme (D&NS) at the Alan Turing Institute is seeking to establish a new research and innovation team to work on AI Security. The aim is to further cutting-edge research and engineering approaches to solve real-world problems in AI/ML security, working in close collaboration with government partners such as select UK universities. Please note that applicants must already have Developed Vetting (DV) clearance in order to apply for this role. Unfortunately if you do not already hold DV clearance then we will not be able to consider your application. The Principal will lead and grow the AI Security Group and develop an R&D portfolio to reflect the biggest challenges in the AI security domain. These challenges, held in a problem book , will reflect areas where government partners are most in need of new paradigms, tools and techniques, as well as where Turing as the national AI research institute is best placed to support this agenda. The challenges could range from AI model provenance to security of compressed ML and the post-holder will be expected to shape the research direction. This is a unique opportunity to contribute to a national effort and build a world-leading group within this field. The role is suited to candidates who are both familiar with the national security domain and the application of research to national security challenges and are themselves a researcher in data science and artificial intelligence with an outstanding track record of research or similar experience across related disciplines and a strong foundation in mathematics, statistics, or theoretical computer science. A deep understanding of mathematical principles underpinning modern AI systems is essential for success in this role. Your Profile DV security clearance is an essential requirement for this role and applicants will need to already hold DV clearance. Further information about DV clearance can be found on the UK Government security vetting website . In addition to DV clearance, you will have a PhD or equivalent professional experience in a field with significant use of both computer programming and advanced mathematics, specifically in relation to artificial intelligence and machine learning. Direct experience developing and deploying technologies in support of UK Defence and National Security organisations will be essential as well as fluency in one or more programming languages used in data science. We predominantly work in Python, but demonstrable experience of other programme languages is important. As well as excellent technical skills, the successful candidate will need to demonstrate strong leadership and communication skills, and have experience in managing a team and setting strategic direction at a team level. Main Duties Defining and maintaining the research strategy of the team, specifically providing scientific leadership on AI security with responsibility for developing and delivering on the problem book. This means driving the research agenda through an applied lens, whereby the outputs are of high utility to our national security partners. Undertake wider approaches as necessitated to establish an effective R&D effort, i.e. more upstream research to solve thorny problems that are meaningful in the context of national security. Provide technical leadership and oversight of research development, taking ownership for the technical quality, rigour and integrity of all team outputs, and being responsible for delivering high quality outputs include code, technical reports, demos and papers. Establish and continually develop an R&D team with the appropriate skills and expertise to meet evolving research needs, and line manage staff, supporting their career development aspirations. Prioritise and promote an iterative, experimentation-led and outcome-focused R&D culture. Engage key stakeholders, maintaining positive and productive relationships with required partners in Government and UK universities including the need to engage in deep technical discussions to shape research priorities, communicate complex ideas clearly and ensure mutual understanding of technical challenges and solutions. Please see our portal for a full breakdown of the role. If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV and covering letter. If you have questions about the role or would like to apply using a different format, please contact us on , or email . If you are applying for more than one role at the Turing, please note that only one Cover Letter can be visible on your profile at one time. If you wish to apply for multiple roles and do not want to overwrite your existing Cover Letter, please apply for the role using the button below and forward your additional cover letter directly to quoting the job title. If you are an internal applicant and wish to apply, please send your CV and Cover Letter directly to and your application will be considered. CLOSING DATE FOR APPLICATIONS: SUNDAY 25 JANUARY AT 23:59 (LONDON, UK GMT) We will review applications and shortlist on an ongoing basis, from early January, and may invite successful applicants to interview ahead of the closing date. We encourage all interested applicants to apply early. Terms and Conditions This full-time post is offered on a permanent basis. The annual salary is £78,422-£83,456 plus security clearance (DV) allowance and excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute DV security clearance is an essential requirement for this role, and applicants will need to already hold DV clearance. Further information about DV clearance can be found on the UK Government security vetting website

Title: Principal/ Lead Mathematician Rate: £450-£550 Outside IR35 Contract duration: 3 months (Initially) Start date: January start date! We're partnering with a highly technical, early-stage organisation building a next-generation, AI-driven decision platform. They're looking for a Principal / Lead Mathematician to own the mathematical foundation that underpins the entire system. This is a rare opportunity to sit at the heart of product design - translating human problem-solving processes into rigorous mathematical, algorithmic and optimisation models that power summarisation, semantic search, and decision-support workflows. You'll lead the design and validation of core algorithms, working closely with Data Scientists and Engineers to embed mathematically sound models into a modular, cloud-native platform. What you'll be doing Designing end-to-end mathematical models that translate real-world workflows into executable system logic Applying algebraic modelling, graph theory, optimisation and statistics to complex, unstructured data problems Prototyping and validating algorithms in Python and MATLAB Shaping the mathematical backbone of vector search, intent extraction and LLM-driven workflows Producing clear, auditable documentation in LaTeX and Jupyter Acting as the mathematical authority across the platform and mentoring others where needed What we're looking for Strong background in applied mathematics, operations research or optimisation Proven experience with graph-based models, algorithm design and probabilistic methods Comfortable working alongside Data Science and Engineering teams Ability to translate abstract, human-led processes into formal mathematical representations Experience supporting AI / ML-driven systems (theoretical or applied) This role suits someone who enjoys owning complex problems from first principles, shaping both the theory and its real-world application in a cutting-edge technical environment. If you're interested in this role or know someone who would be, then please apply with an updated CV and reach out to a. co.uk JBRP1_UKTJ

Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.