417 jobs found

We are seeking a highly skilled Graph Database Engineer to join our team in support of a high-impact public sector program. This role involves designing, implementing, and optimising graph-based data models and analytics to support mission-critical decision-making and intelligence operations. This role is a 6 month initial contract, hybrid 2 days a week in London, paying up to £700pd Inside of IR35 (DOE). Key Responsibilities: Design and develop scalable and efficient graph database solutions using technologies such as Neo4j Collaborate with data scientists, analysts, and engineers to build complex data pipelines and relationships across disparate data sources. Implement graph algorithms to uncover patterns, detect anomalies, and enable entity resolution. Translate real-world systems and entities into graph structures for querying and visualisation. Optimise query performance and ensure data integrity and security compliance in accordance with government standards. Support ingestion of structured and unstructured data into graph databases. Develop and maintain documentation for graph schemas, workflows, and system configurations. Required Technical Skills: 3+ years of experience working with Neo4j Proficiency with Cypher Experience with ETL processes, data modelling, and data integration pipelines. Familiarity with data governance and security practices in a public sector or regulated environment. Strong analytical and problem-solving skills with attention to detail. Eligible for government security clearance. Experience working with cloud platforms (AWS, Azure) and data services. Experience in Fraud or Financial Crime projects Familiarity with linked data, RDF, or semantic web technologies. Experience with visualisation tools like Neo4j Bloom

Senior Data Science Engineer (Applied Data Science / SAAS) Location: Hybrid - 2 days per week in either Hampshire or Worcestershire Salary: 50,000 - 55,000 (DOE) Are you a hands-on data scientist who loves turning messy data into actionable insight? Do you enjoy building practical data solutions and working across teams to bring data-driven products to life? We're looking for a Senior Data Science Engineer to help shape a growing data capability within a well-established and ambitious tech organisation. You'll play a key role in designing and delivering data-driven products, contributing to model development, analytics tools and scalable pipelines that drive insight and innovation. You'll collaborate with engineers, analysts and stakeholders to solve real business problems using a blend of data science, analytics engineering and applied machine learning. This is a broad and flexible role, ideal for someone who's worked across the data science lifecycle and enjoys both experimentation and delivery. Key responsibilities include: Building and refining models to support decision-making and customer insight Designing and developing analytics tools and pipelines for internal and external use Supporting productionisation of models and analytical workflows Promoting best practices in reproducible, ethical and explainable data science Exploring new technologies and techniques to evolve the data offering What We're Looking For Strong experience in a Data Science or Machine Learning role Proficient in Python and SQL, with a solid grasp of data wrangling, modelling and validation Comfortable working with varied datasets and translating findings for non-technical audiences Understanding of modern data workflows (version control, notebooks, testing, etc.) Strong communicator with a practical, delivery-focused mindset Nice to have: Experience deploying or supporting ML models (e.g. regression, classification, recommendation) Familiarity with ML/DS libraries such as scikit-learn, TensorFlow, Hugging Face, or similar Exposure to cloud platforms (Azure preferred), APIs or data services Please note: Visa sponsorship is unfortunately not available for this role. Applicants must have the right to work in the UK . If you're excited about solving real-world problems with data, enjoy working across disciplines and want a role where you can have real impact then we'd love to hear from you. Apply now to take your next step in applied data science.

Senior Data Science Engineer (Applied Data Science/SAAS) Location: Hybrid - 2 days per week in either Hampshire or Worcestershire Salary: £50,000 - £55,000 (DOE) Are you a hands-on data scientist who loves turning messy data into actionable insight? Do you enjoy building practical data solutions and working across teams to bring data-driven products to life? We're looking for a Senior Data Science Engineer to help shape a growing data capability within a well-established and ambitious tech organisation. You'll play a key role in designing and delivering data-driven products, contributing to model development, analytics tools and scalable pipelines that drive insight and innovation. You'll collaborate with engineers, analysts and stakeholders to solve real business problems using a blend of data science, analytics engineering and applied machine learning. This is a broad and flexible role, ideal for someone who's worked across the data science life cycle and enjoys both experimentation and delivery. Key responsibilities include: Building and refining models to support decision-making and customer insight Designing and developing analytics tools and pipelines for internal and external use Supporting productionisation of models and analytical workflows Promoting best practices in reproducible, ethical and explainable data science Exploring new technologies and techniques to evolve the data offering What We're Looking For Strong experience in a Data Science or Machine Learning role Proficient in Python and SQL, with a solid grasp of data wrangling, modelling and validation Comfortable working with varied datasets and translating findings for non-technical audiences Understanding of modern data workflows (version control, notebooks, testing, etc.) Strong communicator with a practical, delivery-focused mindset Nice to have: Experience deploying or supporting ML models (eg regression, classification, recommendation) Familiarity with ML/DS libraries such as scikit-learn, TensorFlow, Hugging Face, or similar Exposure to cloud platforms (Azure preferred), APIs or data services Please note: Visa sponsorship is unfortunately not available for this role. Applicants must have the right to work in the UK . If you're excited about solving real-world problems with data, enjoy working across disciplines and want a role where you can have real impact then we'd love to hear from you. Apply now to take your next step in applied data science.

Data Scientist - Immediate Interviews Im currently looking for a Data scientist to come on board to help in analysing customer behaviour and providing key insights. You will play a key role in building a new Real Time CRM platform. Job Overview Analyse large datasets Develop predictive models Utilise Machine Learning Techniques Stakeholder engagement Requirements Masters or PHD degree in quantitative field Experience of large-scale data analysis Experience in statistical analysis and predictive modelling Python and SQL If you would like to discuss this role, further call me Subeg Lehl or send me a latest copy of your CV. Data Scientist - Immediate Interviews

The Data Insights Graduate Programme Our Data Insights Graduate Programme is a two-year structured scheme designed for graduates with a passion for data analytics and problem-solving. During this programme, you will work with our Data & Insights team, using cutting-edge tools and techniques to analyse large datasets, generate key business insights, and drive data-driven decision-making across the organisation. Through 6-month rotations, you'll rotate through various functions, including central data teams, digital & technology and supply chain, giving you exposure to different areas of our business. You'll gain hands-on experience in data analytics, business intelligence, and data visualisation while working on impactful projects that enhance efficiency, customer satisfaction, and profitability. You'll also benefit from a structured learning programme, with online tools, workshops, and a supportive network of fellow graduates. Plus, your dedicated mentor and Graduate Programme Manager will guide you every step of the way. This programme is designed to develop you into the next generation of data scientists & engineers and analysts that will pioneer the use of data, analytics and artificial intelligence to revolutionise how data is used in industry. What We Offer: * Diverse Rotations: Work across key functions such as finance, operations, marketing, and supply chain to understand the full scope of data's impact on the business. * Data Analytics Tools: Gain hands-on experience with industry-leading tools like SQL, Power BI, Python, and Tableau to analyse data and deliver insights. * Mentorship and Development: Benefit from one-on-one mentorship, ongoing training, and the opportunity to attend workshops that focus on data science, business intelligence, and leadership skills. * Impactful Projects: Assist on data-driven projects that shape business decisions and strategies, helping us optimise operations, understand customer behaviour, and improve performance. Career Pathway: On successful completion of the programme, you will have the opportunity to secure a role within our Data & Insights team, with the potential to specialise in business intelligence, data science, or data engineering where there are ongoing and endless opportunities for growth. Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

Our client, a trusted provider of technical services to the UK infrastructure is in need of a Data Scientist, hands-on, technically strong and who is eager to lead the client's data science efforts and grow with the role over time. If you're the kind of person who thrives in an environment that encourages experimentation, but can also operate effectively within the structure of an organisation, this role is for you. This role could suit a current Data Scientist or a senior BI Analyst who has recently transitioned towards Data Science This is a pivotal role for someone eager to grow their career, influence the direction of data science at an enterprise level, and work with Legacy systems and emerging technologies. You'll bring a solid analytical background-ideally from maths, physics, or data science-and a strong track record of delivering results. This role combines technical delivery, ownership, and creative freedom with the opportunity to shape how data science is utilised across their business. Key Responsibilities will include Leading the development of data science models and solutions that have a real business impact. Design and iterate on machine learning and statistical models with measurable outcomes. Champion the use of Microsoft Fabric and Power BI in the analytics stack. Help shape technical direction, code quality, and best practices in data science. Explore and test new tools, frameworks, and modelling approaches-then scale what work. Key Skills Needed: A background and higher qualifications Mathematics, Physics, Data Science, or a related technical field. 2-5 years' experience in a hands-on data science or advanced analytics role. Proven experience with Microsoft Fabric and Power BI in a production environment. Strong skills in Python (eg Pandas, scikit-learn, NumPy) or R. Proficient in SQL and working with relational databases. Experience building and deploying statistical or machine learning models. Experience working in cloud environments, preferably Azure. At this point we can only consider candidates eligible to work in the UK. The role is based in the City of London, with a hybrid working model and good flexibility to support home-based commitments. The position comes with a discretionary bonus structure and generous holiday allowance.

Explore AI/ML solutions to tough physics problems in the Defence domain This research team is looking for an experienced engineer or post-doctoral scientist to help them explore the use of modern ML techniques for solving problems across defence related domains such as RF, edge AI and AI security. They work collaboratively within their team as well as with other teams working on similar problems spread across the country. Their work is highly experimental, and it is understood that not all projects succeed, even failed projects contain valuable insights. You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. Projects will be defence focused but may include offensive capabilities. Please note, as projects are defence related, you will need to qualify for UK security clearance to be considered for this role. Requirements: PhD or equivalent professional experience in a field that demonstrates significant understanding of both computer science and advanced statistical or numerical methods Practical experience applying ML techniques to solve real-world problems Knowledgeable in conducting and publishing (as first author) high-quality research for academic journals Team leadership experience While not required, both a good understanding of RF physics and previous involvement in defence related research projects would be highly beneficial. This team has an academic and welcoming work environment where ideas are judged on merit and good work rewarded fairly. Due to the research heavy nature of projects, the team can often work from home and be in the office as little as one day each week. The office itself is located in central London very close to major public transport links making it an easy commute from either within London or the surrounding area. Initially this is an 18-month contract with the expectation of extending this as more funding is released. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27404 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

About The Role Do you thrive on turning complex environmental data into compelling insight? Are you ready to lead meaningful projects in a growing team of analysts and scientists? We're looking for a Senior Environmental Data Analyst to join our growing Water Data Science team. This role is ideal for someone who combines strong technical skills with a consultancy mindset-comfortable analysing data, guiding project delivery, and collaborating with internal experts and external clients alike. You'll be involved in a broad portfolio of work across the water sector, using data to assess and manage the effects of abstraction, pollution, habitat quality and climate change on water quality, flow, invertebrates, macrophytes and fish. As a senior member of the team, you'll play a key role in shaping methodologies, mentoring junior staff, and ensuring our analysis translates into clear, confident advice that influences decision-making. To be successful in this role, you'll need: - A BSc or MSc in a relevant subject (e.g. environmental science, data science, hydrology, ecology) - Either a PhD or 3+ years of professional experience in environmental analysis or consultancy - Excellent skills in R, including data wrangling, statistical analysis and visualisation - Experience managing and delivering client-focused technical projects - Excellent written and verbal communication, with a strong focus on clarity and impact - Strong time management and attention to detail. Desirable but not essential: - Experience mentoring or training junior colleagues - Experience with GIS (e.g. ArcGIS or QGIS) or SQL databases - Experience working with regulatory or consultancy clients in the water or environmental sector - Membership of a relevant professional body - A valid UK driving licence This is a fantastic opportunity to take the lead on high-profile, data-driven projects-while being part of a supportive and forward-thinking team that values quality, flexibility and collaboration. You will be offered the chance to work on a variety of projects, many of our employees have worked on projects that have been of personal interest to them. We match this with a commitment to continuous development and learning to support your career. We also offer benefits to look after you, from private medical insurance for all employees, access to mental health first aiders and comprehensive income protection if you cannot work. We also offer superb flexible working options, balancing work with your life. Next steps We are focused on creating a diverse and inclusive team. If you can't tick every box on our job description, then we are still keen to hear from you and are open to supporting your development. That may be working part time or supporting you to gain experience in a specific area - we are a growing company and are able to adapt roles to reflect individual skills. If you think you have what it takes to join our fast-growing business, then please apply immediately on our website. All we need some basic information and your CV, we will review all applications quickly and will respond to all applications. About Us The APEM Group is a global environmental consultancy, we work with a range of clients including large corporations and governments to help them understand and solve a wide variety of environmental projects in the UK and globally. Our successful pioneering work has enabled us to grow and combine forces with other businesses who share our ethos and integrity. At our core, our people are working towards the protection of the environment across the globe.

Data Scientist 3 Months Remote with occasional visits to site (1-2 days per week in London) (Apply online only) per day (Inside IR35) My client, in the financial services are looking for a Data Scientist to join their fast-paced team on an initial 3 month contract. The selected candidate MUST HAVE experience in the banking/financial sector Coordination of ongoing measurement framework across debit spend engagement activities and current account performance. Assessment of the company's flight risk model mitigation efficacy and recommendations to improve performance. Support a third party resource in overlaying flight risk PAN data on to customer level view and to build in a way that the third party can easily carry out the overlay process Track and report success metrics and KPIs associated to current account engagement supporting activities under Strategic Accelerator Fund. Leverage company data to create visual and easy to understand New Customer Engagement (?NCE?) dashboard and reporting (from the customer?s onboarding date up to 90 days thereafter. Connect between Analytics Centre of Excellence (?ACE?) and Insights & Analytics team to consolidate findings Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.

Senior Marketing Data Analytics Analyst (building MMM's with Python/r) West London based 4 days p/w onsite 1 wfh 6 month contract - Start ASAP (weeks notice) (Apply online only)pd rate inside to Umbrella Senior Marketing Analyst - Senior Marketing Data Analytics Analyst (building MMM's) Looking for someone with minimum 4 years experienced in Marketing Data analyst roles with at least 2 years experience building Marketing Mix Models (mmm's) using regression analysis, Python/r and SQL as well as using data visualisation tools such as Looker/Tableau. If you have additional experience in the media subscription sector such as streaming video services such as VoD/Avod or other subscription services it would be a bonus alternatively consultancies providing MMM would also be of interest. The team are specifically focused on programming strategy, marketing, customer acquisition and retention, partnerships, research, and analytics. looking for an enthusiastic Senior Analyst to join the Analytics & Insights team with expertise in Marketing Analytics. This role will be pivotal in helping us evaluate strategic marketing initiatives to drive acquisition and improve retention for the subscription business. This role will leverage excellent technical, storytelling and communication skills, as well as the ability to work cross-functionally to identify business needs and deliver marketing insights across EMEA. What You Will Do: Drive the development, design and implementation of Marketing Mix Models (MMM), Experimentation and Geo Testing to understand the incremental impact of our marketing investments. Collaborate closely with cross-functional teams including Marketing, Finance and Research to identify key measurement opportunities across markets and build marketing measurement roadmaps. Partner with internal Analytics teams globally on model alignment and on-going development of marketing measurement methodologies. Provide impactful recommendations and strategic guidance on media mix optimisations to influence budget allocation for future marketing campaigns. Liaise closely with third-party media owners and be across past and upcoming media plans. Required Experience Qualifications & Skills: Someone with minimum 4 years experienced in Marketing Data analyst roles with at least 2 years experience building Marketing Mix Models (mmm's) using regression analysis, Python/r and SQL as well as using data visualisation tools such as Looker/Tableau. If you have additional experience in the media subscription sector such as streaming video services such as VoD/Avod or other subscription services it would be a bonus alternatively consultancies providing MMM would also be of interest. Experience as a Marketing Analyst, Data Scientist or similar. Proven experience and strong knowledge of regression analysis Experience building multiple MMM's for at least 2 years, A/B tests and other statistical modelling techniques. Proficiency in Python and/or R. Excellent proficiency in SQL to and working with data warehousing technologies (e.g. Snowflake, Databricks). Ability to use data visualisation tools such as Looker/Tableau. Ability to convert technical outputs into succinct and compelling presentations with clear narrative and actionable recommendations. Strong clarity of communication, able to present to stakeholders. Excellent stakeholder management with proven experience of effectively engaging with senior stakeholders. Everybody is welcome Diversity and Inclusion Statement. PCR Digital "At PCR Digital, we are committed to ensuring that diversity, equity and inclusion play a role at all stages of our recruitment - it is important to us that our own company culture and the culture of our network is as varied and supportive as possible. We love people (it's why we do what we do), so, regardless of background, we welcome you to work with us or apply to any of our jobs if you feel that they are right for you." We also aim to ensure that our entire process is accessible. Please make us aware of any adjustments you may need throughout the selection, interview and general process and we will do all we can to ensure that any barriers are removed for you.

Barton Peveril is a thriving Sixth Form College with excellent outcomes for students and outstanding facilities. We have an exciting opportunity for a Data Analyst Degree Apprentice to join our MIS team. You will work with the MIS team to deliver reports, data analysis, and other data solutions. This will involve working with stakeholders to produce bespoke reports and solutions. You will take a lead on the research and deployment of Looker Studio. You will complete one of the following degree apprenticeships. Discussions will be held with successful applicants to determine the most suitable option and you will need to meet the entry requirements of the university: Data Scientist Degree Apprenticeship with Chichester University Digital and Technology Solutions Professional Degree Apprenticeship (Data Analyst specialism) with the Open University

Spearheading the integration of machine learning into cutting-edge electronics This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machine learning revolution you can be here, leading the charge. You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What s special about this group is they do this dozens of times per year working across multiple domains. You can be working on computer vision for one project and generative models for the next. Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly A top degree in a STEM subject UK national While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to edge computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc). Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals expertise. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this position. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27413 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

Data Scientist - Join One of the UK's Most Exciting Tech Start-ups Location: London (Hybrid) Salary: 65,000- 110,000 + Equity Our client is one of the UK's fastest-growing tech start-ups, recently recognised as one of LinkedIn's Top 10 UK Start-ups and already active nationwide. They're seeking a talented Data Scientist to play a pivotal role in scaling the company's AI capabilities and delivering data-driven impact at speed. The Role: As a Data Scientist, you will apply advanced analytics, AI, and problem-solving skills to interpret partner data, uncover trends, and build intelligent solutions that enhance operational efficiency within a booming UK Market. Key Responsibilities: Develop AI models to predict and optimise labour deployment based on demand patterns Build systems to monitor and improve service quality across partner operations Analyse data from high-profile hospitality partners to identify opportunities for value creation Design visualisations and dashboards for both internal and external stakeholders Maintain and scale analytics infrastructure for broader impact Collaborate across technical and non-technical teams to design and implement solutions What We're Looking For: 2+ years' experience building production-grade AI/ML models Strong Python skills and familiarity with leading AI/ML libraries Solid understanding of supervised and unsupervised learning techniques Experience in demand prediction, optimisation, or computer vision is advantageous Comfortable working with cloud platforms (preferably AWS) and services like SageMaker or Lambda Strong mathematical and statistical foundations, with a sharp eye for patterns and insights Willingness to build basic backend development skills (Python/Django or Go) to support deployment What's on Offer: Competitive salary: 65,000- 110,000 (depending on experience and skills) Private medical insurance Unlimited holiday allowance Office gym membership Equity in a well-funded, high-growth startup Friendly, social team culture based in the heart of Camden Dog-friendly office This is a rare opportunity to join a mission-led business that's reshaping a vital sector, with real traction, strong backing, and an ambitious roadmap. If you're ready to put your data science skills to work in a dynamic, real-world setting-this is the role for you. Apply now to be part of something transformational. People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.

Senior Data Scientist (GenAI) required for a London, globally known software business with hybrid working. I am working with a large Global software organisation to join their team in London, where you will be working on developing world-class products and services in a hugely innovative environment. The company: The organisation has been around for over 20 years and has over 1,000 members of staff. They operate across a very specific area of online sales and are a large-scale tech company. They have offices in London and Scotland and are continuing to grow and be productive. They are one of Scotland's best known tech organisations, and they thrive on a positive and welcoming culture, making it one of the best places to work. They are a hybrid organisation and ask all employees to be in office twice a week in London - what days those are, are flexible. You will join a team of 7 Engineers and Scientists to work together to guarantee smooth deployment, monitoring, and scaling of solutions in live production environments. The role: You will be utilising advanced technologies such as GenAI and recommender systems with the goal to enhance this content and build a leading platform for travel discovery. You will lead high-impact initiatives with an experimental approach. You'll be involved in the entire data science lifecycle, from defining problems and exploring data to developing and evaluating models. You will also work closely with engineering teams to ensure the smooth deployment, monitoring, and scaling of solutions in production environments. You will develop and implement advanced Generative AI and recommender system solutions to improve travel content and user experiences. This includes researching LLMs, multimodal models, and content-based filtering to personalise recommendations. As well as this you will be involved in designing evaluation frameworks to ensure content quality and relevance. You will collaborate with cross-functional teams to integrate AI-powered solutions into the Explore platform, optimise models for better content discovery, and support the deployment and maintenance of machine learning models in production. Staying updated on AI advancements; you'll continuously experiment with new methodologies to enhance the user experience. Key skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark / Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers a strong salary of up to 95,000 (Depending on experience / skill) with hybrid working (2 days per week in office). Additionally, they offer a range of employee benefits including a few different bonuses. This is an opportunity to work with one of the UKs best software businesses so if you think that you could be the right fit and this is the next step in your career, then please apply or contact Matthew MacAlpine at Cathcart Technology on (phone number removed).

Data Scientist - GCP 500- 550 per day (Inside IR35) 2 Days Onsite - Isleworth, West London 6-Month Contract (Extendable) 83zero are partnered with a global leader in media and broadcasting, looking for an experienced Data Scientist to support a business-critical project. You'll be joining a collaborative team of data scientists and engineers to build and refine machine learning models that deliver genuine commercial impact. What You'll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision) using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well-documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine learning algorithms, and data modelling. Strong analytical mindset with a knack for turning data into actionable business insight. Excellent communication skills and a strong sense of ethics around data and AI. This is a fantastic opportunity to contribute to an industry-leading team, solving real-world problems with cutting-edge tools over an initial 6-month contract .

Your new company You will be working for a leading consultancy who is responsible for providing solutions to the most complex and critical challenges in Defence, Security, Intelligence, and National Infrastructure. Your new role In your new role as a Data Scientist, you'll be involved in developing insights from complex datasets using Python, R, SQL. You will design and deploy innovative AI and machine learning solutions across varied projects that will challenge and grow your expertise. What you'll need to succeed To be successful in this role, you will need to have previous experience in a similar role, knowledge and demonstrable experience of Python, R and SQL, an understanding of data product life cycles and AI/ML principles. A degree in a relevant field would be an advantage and possess excellent communication and consulting abilities. What you'll get in return Flexible working options are available, which include hybrid working and flex on working hours. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career. Hays EA is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Contract Python AWS Engineer Outside IR35 Fully Remote 450 - 475 day 9 Months Are you a Python Engineer with strong FastAPI and AWS CDK skills seeking your next contract opportunity? Join a global analytics firm specializing in critical insights for major organizations worldwide. We're looking for a seasoned Python Software Engineer to enhance their infrastructure using AWS CDK and optimize FastAPI applications. This role offers a chance to collaborate with a mission driven team, directly impacting the scalability and quality of key data products. Tech Stack: Python Core language for application development FastAPI with either Flask or Django for API frameworks for web services AWS CDK experience with Infrastructure as code for AWS deployments Docker Containerization for local development Prefect or Airflow or Dagster experience for pipeline orchestration frameworks What you'll be doing: Develop and optimize FastAPI applications integrated with AWS CDK infrastructure. Collaborate closely with developers, subject matter experts, and data scientists. Implement scalable solutions for handling large datasets in cloud based environments. Automate data workflows across the analytics platform using pipeline orchestration frameworks. Provide guidance on best practices for AWS CDK, FastAPI, and modern web application development. Requirements: Several years of commercial Python development experience. Confident understanding of API services and frameworks like FastAPI, Flask, and Django. Experience with AWS services, deployment processes, and infrastructure as code approaches AWS CDK, Terraform. Comfortable working with Docker containers for local development. Familiarity with pipeline orchestration frameworks such as Prefect, Airflow, or Dagster. Excellent communication skills with a collaborative mindset. Contract Details: Location: Fully remote UK based candidates only. Length: 9 months. Rate: 450 to 465 per day Outside IR35. Start: ASAP. If you're a Python AWS Engineer with expertise in FastAPI and AWS CDK, passionate about impactful analytics and web application development, we'd love to hear from you. Please apply or reach out to Andy at Cathcart Technology.

Job Description Join the Chief Data & Analytics Office (CDAO) at JPMorgan Chase and be part of a team that accelerates the firm's data and analytics journey. We focus on ensuring data quality and security while leveraging insights to promote decision-making and support commercial goals through AI and machine learning. As an AI ML Lead Software Engineer within the Chief Data & Analytics Office, you will become part of a mission to modernize compliance through scalable and explainable AI. We are building a system that answers the question: "Can I use this data?", not with guesswork, but with prediction/classification, logic, proof, and intelligent automation. Our work sits at the intersection of applied machine learning, AI reasoning systems, and data governance. We are designing the triage layer of an intelligent decision engine that combines ML-driven classification, LLM-assisted parsing, and formal logic-based verification. This is an opportunity to tackle complex, ambiguous problems that touch every part of the firm's data ecosystem and to build ML solutions that actually make decisions. Job Responsibilities: Architect and develop scalable Python-based systems that support ML-driven risk classification, tagging, and approval triage Integrate ML models into microservices and APIs for use within AI Judge workflows Lead engineering design reviews, establish coding standards, and ensure system robustness and security Build and maintain feature pipelines and model-serving infrastructure using cloud-native tools Work closely with ML scientists, data engineers, and product managers to align on requirements and delivery timelines Drive engineering quality, CI/CD integration, observability, and unit testing for AI-enabled software components Mentor junior engineers and uphold engineering excellence across the team Required Qualifications, Capabilities, and Skills: Master's degree in computer science, Software Engineering, or related field 6+ years of experience as a backend or AI/ML software engineer Proficiency in Python with deep experience in building distributed and containerized services (e.g., Flask/FastAPI, Docker, Kubernetes) Strong understanding of ML deployment workflows, feature engineering, and serving architectures Experience building and deploying APIs and ML inference services in production Familiarity with ML model management, versioning, and performance monitoring Strong engineering fundamentals: data structures, system design, testing, and performance optimization Excellent communication and collaboration skills across technical and non-technical teams Preferred Qualifications, Capabilities, and Skills: Experience with AWS cloud stack (S3, SageMaker, Lambda, ECS, etc.) Experience working with structured data, tabular models, and metadata-driven platforms Experience with regulated data systems, enterprise controls, or secure data processing workflows Contributions to open-source ML or backend tooling frameworks About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

FULL STACK DEVELOPER LONDON HYBRID 50,000 - 60,000 Our Client, a Top 20 Accountancy firm who have an excellent reputation in their space, are looking for a React/Full Stack Developer to join their team on a permanent, full time basis. This person MUST be experienced in Python , Django and .react They are seeking an experienced Full Stack Developer to join their Transformation team to contribute to the development of innovative products that aim to revolutionise the way auditors and accountants work. This role involves accelerating the creation of the companies core product suite, helping to automate repetitive tasks and enable accountants to focus on data-driven insights and analytics. This position provides a fantastic opportunity to work in a small, focused and confident team, with mentorship from experienced developers and data scientists that will enable you to develop your skills and offers a chance for career progression as the role evolves. Full Stack Developer - Responsibilities Collaborate with a small team of developers, contributing to daily code reviews and merge requests. Develop across the entire product stack, including: Frontend interface Backend API layer Analytics/data processing engine Lead projects independently, from requirements gathering through to deployment. Mentor junior developers to support their technical growth. Solve complex challenges related to data and presentation in accountancy. Full Stack Developer - Experience Required A minimum of 3 years of experience as a full-stack developer, delivering robust production-ready solutions. Proficiency in the following technologies: - Backend: Python, Django - Frontend: JavaScript, React, Next.js - Version control: Git Comfortable working with Python and JavaScript professionally, with experience in Django and React. Ability to build data-intensive applications and manage complex backend logic, including external API integrations. Experience in creating responsive user interfaces that function across browsers and mobile devices. Capable of working independently and taking ownership of technical projects. Strong analytical skills and problem-solving abilities. Effective time management and prioritisation skills under tight deadlines. Bonus Skills & Expertise Experience deploying and managing applications using Azure and Docker. Familiarity with frameworks such as LangChain and expertise in Retrieval-Augmented Generation (RAG) models for AI-driven applications. Proficiency with pandas for data manipulation. Full Stack Developer - What's in it for you? Salary Reviews: Twice a year to recognise your contributions. Generous Annual Leave: Enjoy 25 days plus three days off at Christmas. Flexible Working Comprehensive Wellbeing Support: Access to Digicare+, Employee Assistance Programme, and more! Private Medical Insurance Professional Subscriptions: Invest in your growth and development. Seniority Level Associate Industry Accounting Employment Type Full-time Job Functions Information Technology Skills React.js Django Stack Code Review Data Manipulation Full-Stack Development May & Stephens Ltd is acting as an Employment Agency in relation to this vacancy.