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AI Engineer - Data Science Hybrid | London, England | Engineering Overview The Explore Group are partnered with one of our Tier 1 clients to secure AI Engineers with strong data science expertise who are eager to develop and deliver innovative AI solutions for large scale organisations. This role requires a combination of technical skills and business understanding, working with advanced AI technologies to create impactful data driven applications. Responsibilities • Partner with enterprise clients to understand requirements and design tailored AI and data science solutions, • Apply statistical modelling, machine learning, and programming expertise to solve complex problems, • Explore and implement modern AI technologies including large language models, retrieval augmented generation, and advanced automation tools, • Deliver production ready solutions that integrate into existing client environments, • Engage with stakeholders at different levels, translating technical approaches into clear business outcomes, • Stay up to date with rapidly evolving AI tools and actively incorporate them into solution design Requirements • Strong background in data science and machine learning with solid understanding of statistics and programming, • Exposure to MLOps and experience deploying models into production environments, • Interest and practical experience in using emerging AI technologies such as co pilots, agentic frameworks, and generative AI applications, • Proven ability to manage client expectations and deliver high quality solutions in a collaborative environment, • Excellent communication skills with the ability to present technical concepts to both technical and non technical audiences Benefits We offer a supportive and flexible work environment with a comprehensive benefits package including: • 25 days of annual leave plus bank holidays, • Share options and pension scheme, • Health and dental insurance options, • Professional learning and development budget, • Cycle to work scheme and technology allowance, • Referral bonus scheme, • Opportunities to work abroad for limited periods, • Regular team socials and office perks

Senior Platform Engineer Manchester or London (Hybrid) Up to £72,000 + Bonus – Permanent 🚀 Join a national security programme at the heart of the UK’s critical infrastructure. We’re growing our Platform Engineering capability to deliver cutting-edge solutions that make a real difference. You’ll be part of a collaborative consulting-style environment, working alongside specialists and generalists, designing and building systems that keep the country safe. What you’ll be doing • Designing and delivering production-grade and proof-of-concept systems for high-impact projects, • Building modern, secure, and scalable solutions using the latest tooling and engineering practices, • Embedding quality through automated testing, CI/CD pipelines and code analysis tools, • Working in agile, multidisciplinary teams to solve complex client challenges, • Supporting a culture of innovation and knowledge-sharing, with opportunities to mentor and get involved in wider tech and cyber skills initiatives Experience required • Strong background in software engineering with one or more languages (Java, JavaScript, .Net, Python), • Hands-on experience with version control (Git, Mercurial, etc.) and CI/CD tools (Jenkins, Bamboo, TeamCity, Bitbucket), • Proven track record delivering in agile environments (Scrum, Kanban, Lean), • Understanding of software design patterns and engineering best practices, • Current SC clearance is a bonus – otherwise, you must be eligible Nice to have (or we’ll help you get there): • Cloud platforms (AWS, Azure), • Containerisation (Docker, Kubernetes), • Database systems (SQL, NoSQL, Graph), • Configuration & deployment tools (Ansible), • Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package • Up to £72,000 base salary, • Bonus scheme, • Hybrid working – London or Manchester hub, • Private healthcare & pension, • Career development pathways in a consulting-style environment, • Opportunities to contribute to community tech initiatives 💡 To hear more about the role, get in touch with me directly.

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence?. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machine learning lifecycle — while contributing to a product used by real-world clients. If you’re

The Explore Group are working with one of our tier 1 clients in securing an experienced Machine Learning Engineer with strong expertise in Computer Vision to join our team on a 6 month initial contract (with guaranteed extensions).

2 Positions: Machine Learning Engineer & Machine Learning Researcher My client is a scaling robotics start-up that is creating autonomous industrial robots capable of handling intricate, dexterous tasks. They're looking for Senior ML Engineers who want the freedom to bridge the gap between state-of-the-art research in embodied AI and real-world systems. You'll be joining a team of accomplished roboticists with excellent PhDs, high-impact research, and industrial know-how, who will help nurture and develop you to the next level! Salary: Up to £150k Location: London Onsite: Most days What You’ll Be Doing (Machine Learning Engineer): • Implement and scale state-of-the-art AI algorithms to be deployed on real-world robotic systems, • Build robust data pipelines and work with multi-modal sensor data, • Collaborate with a talented team of researchers to improve and refine algorithms for real-world tasks, • Ensure the scalability and maintainability of production systems, with a strong focus on (low-level) MLOps What You’ll Be Doing (Machine Learning Researcher): • Conduct groundbreaking research to develop new algorithms and models for robotics, • Work on advanced learning approaches such as reinforcement learning and imitation learning, • Contribute to creating multi-robot systems and cross-embodiment learning techniques, • Drive innovation by publishing research and attending top conferences Engineer Background: • Expertise in PyTorch or TensorFlow, distributed computing, and multi-GPU training, • Robotics experience, particularly in reinforcement/ imitation learning, • Experience in cloud infrastructure (AWS, GCP, or Azure) and containerization, • Ability to translate research papers into deployable systems Researcher Background: • PhD or advanced degree in Robotics, Machine Learning, or a similar field, • Experience with top-tier conferences like CoRL, ICRA, RSS, ICML, ICLR, NeurIPS, • Strong knowledge of reinforcement learning, imitation learning, and real-world deployment

As a Machine Learning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact,. This full-time Machine Learning Engineer position is based onsite in our

🚨 Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: • Has deep ML theory knowledge — ideally a PhD/postdoc in AI/ML, • Knows when not to use a model based on cost vs. impact, • Advocates for AI productivity tools and uses them daily, • Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: • 8+ years in Data Science / ML Engineering, • 2+ years hands-on with Databricks, • Strong track record delivering production-grade ML models, • Solid grasp of MLOps best practices, • Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: • Python, SQL, Spark, R, • MLflow, vector databases, • GitHub / GitLab / Azure DevOps, • Jira, Confluence 🎓 Bonus points for: • MSc/PhD in ML or AI, • Databricks ML Engineer (Professional) certified

Do you want to leverage your AI/ML skillset in a rapidly growing start-up that’s focused on Gen AI advancements? Do you want the freedom to work with a diverse range of clients and be responsible for creating bespoke end-to-end technical solutions for them? You’ll be joining a start-up whose founders have already made their mark in scaling a successful data and AI company, so if you want to be a part of their next big project, this could be the firm for you! By joining at this time in their venture, you’ll have the chance to establish the vision of cutting-edge AI solutions as well as influence the direction of the firm. If coding in python is your thing, as well as having experience working with LLMs, then this could be the next step in your career – regardless of the industry you’ve come from. So, if you want to work with the latest cutting-edge technology in a firm which fosters freedom, growth and success, then let’s discuss this opportunity further. No up-to-date CV required.

Senior Machine Learning/Research Engineer. We are working with a leading quantitative technology firm that’s working at the cross roads of machine learning research and high-performance trading.

Collaborate with data engineers, scientists and product owners to operationalize workflows for reliable, seamless model deployment and monitoring. Exposure to Retrieval-Augmented Generation (RAG) pipelines, vector databases (e. Experience with data engineering or analytics platforms.

Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. Demonstrated expertise in the full lifecycle of machine learning, from model development and deployment to monitoring and maintenance. Lead Machine Learning Engineer.

Positions: Machine Learning Engineer & Machine Learning Researcher. What You’ll Be Doing (Machine Learning Engineer):. What You’ll Be Doing (Machine Learning Researcher):.

We’re Hiring: Data Scientist / Machine Learning Engineer. Data Scientist / Machine Learning Engineer. Develop predictive systems and machine learning algorithms.

This role will be central to enabling data science teams to deliver high-quality, production-ready machine learning solutions. Senior MLOps Engineer Location: London hybrid Salary: £80K - £90K Data Idols are working with a fast-growing organisation to hire a Senior MLOps Engineer. Yo

The Explore Group are working with one of our tier 1 clients in securing an experienced Machine Learning Engineer with strong expertise in Computer Vision to join our team on a 6 month initial contract (with guaranteed extensions). You will play a key role in designing, building, and deploying machi

Do you want the freedom to work with a diverse range of clients and be responsible for creating bespoke end-to-end technical solutions for them?. Do you want to leverage your AI/ML skillset in a rapidly growing start-up that’s focused on Gen AI advancements?. You’ll be joining a start-up

Contract Role: Machine Learning Engineer – Biotech & Genomics.Competitive, based on experienceWe’re working with a group of biotech innovators focused on solving some of the most complex challenges in life sciences — from protein folding and genomic analysis to biomedical imaging and drug

You'll join a forward-thinking group of engineers who are building the foundations of a modern ML platform and shaping best practices across the business. As a Senior MLOps Engineer, you will design and maintain the infrastructure that powers machine learning products from research through to produc

Positions: Machine Learning Engineer & Machine Learning Researcher. What You’ll Be Doing (Machine Learning Engineer):. What You’ll Be Doing (Machine Learning Researcher):.

Do you want to leverage your AI/ML skillset in a rapidly growing start-up that’s focused on Gen AI advancements?.Do you want the freedom to work with a diverse range of clients and be responsible for creating bespoke end-to-end technical solutions for them?.You’ll be joining a start-up w

Machine Learning Engineer, timeseries, forecasting, VertexAI, GCP. A FTSE 100 retail client are on the look for a Data Scientist/Machine Learning Engineer to join their data science function to drive cutting-edge ML technology across the business. Significant experience working as a Data Scientist/M

Role: Azure AI DevOps Engineer.Benefits: Healthcare and great holidays.As a Machine Learning Operations Engineer, you will be instrumental in designing, deploying, and maintaining machine learning systems that drive data-driven decision-making in the pensions and financial services sector.Using Azur

This full-time Machine Learning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. As a Machine Learning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models.

As an AI Research Engineer you'll blend research, engineering and product work to build intelligent agents that leverage large language models (LLMs) and multimodal data. AI Research Engineer (LLM Python) London / WFH to £95k. Do you have experience with Machine Learning, AI research and Python eng

We’re Hiring: Data Scientist / Machine Learning Engineer. Data Scientist / Machine Learning Engineer. Develop predictive systems and machine learning algorithms.

Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provid

Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provid

About the job LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit ___. Designation : Principal Architect Joining Location : Bristol, London Mode of Employment : Permanent / Hybrid Job Summary The Genesys SME is a key technical leader responsible for the design architecture and optimization of advanced Genesys Contact Center solutions With a deep understanding of the Genesys suite and extensive experience in contact center transformation the Senior Genesys Engineer will drive strategic initiatives ensuring the seamless integration and performance of the platform to deliver superior customer experiences Key Responsibilities • Lead the design and architectural strategy for complex Genesys CloudGenesys Engage environments, • Develop scalable and resilient solutions to support highvolume contact centers, • Ensure the architecture meets current business needs and is flexible for future growth, • Oversee the development of sophisticated call routing strategies IVR solutions and customer engagement workflows, • Design and implement AIpowered solutions including chatbots voicebots and predictive routing, • Lead the customization of agent desktops dashboards and reporting tools to meet business objectives, • Lead the integration of Genesys solutions with CRM systems workforce management tools and other enterprise applications, • Work closely with DevOps and IT teams to implement CICD pipelines for Genesys environments, • Manage APIs and web services to ensure seamless data flow across systems, • Conduct indepth performance analysis and implement optimizations for call quality system speed and user experience, • Use data analytics and reporting tools to identify trends and opportunities for continuous improvement, • Ensure the platform is optimized for peak performance during hightraffic periods, • Act as a subject matter expert SME for all Genesysrelated initiatives within the organization, • Ensure that the Genesys platform complies with industry standards data protection regulations and security protocols, • Conduct regular security audits and implement measures to protect against vulnerabilities, • Serve as the escalation point for complex technical issues related to the Genesys platform, • Lead root cause analysis and incident management for critical issues, • Develop and maintain disaster recovery plans and ensure system redundancy, • Create comprehensive documentation for all system configurations processes and troubleshooting guides, • Continuously review and refine operational processes to improve efficiency and reliability Qualifications • Education Bachelors or Masters degree in Computer Science Information Technology or a related field or equivalent experience, • Experience 10 years of handson experience with Genesys solutions including Genesys Cloud Genesys Engage and related components Technical Skills • Expertise in Genesys platform architecture configuration and deployment, • Strong programming skills in languages like Java Python or C, • Advanced knowledge of SIP VoIP telephony and network technologies, • Experience with cloud infrastructure AWS Azure etc and virtualization Soft Skills Excellent communication presentation and stakeholder management skills Strong analytical thinking and complex problemsolving capabilities Good to have Qualifications • Genesys Certified Professional GCP or Genesys Certified Expert GCE, • Experience with AI machine learning Copilot and customer experience analytics, • Familiarity with AgileScrum methodologies, • Experience in global contact center implementations and largescale deployments

Positions: Machine Learning Engineer & Machine Learning Researcher. Work on advanced learning approaches such as reinforcement learning and imitation learning. Strong knowledge of reinforcement learning, imitation learning, and real-world deployment.

We’re Hiring: Data Scientist / Machine Learning Engineer Location: Sheffield/London (hybrid) Employment Type: Contract We are seeking a highly skilled Data Scientist / Machine Learning Engineer to join our team. This role involves working with large datasets, applying advanced analytics, and building predictive models to drive actionable business insights. Responsibilities: • Preprocess structured and unstructured data for analysis, • Enhance data collection procedures to include all relevant information for analytic systems, • Process, cleanse, and validate the integrity of data, • Analyze large volumes of data to identify patterns and solutions, • Develop predictive systems and machine learning algorithms, • Present analytical results clearly to stakeholders, • Propose solutions and strategies for business challenges, • Perform data mining and extract usable insights from multiple data sources, • Use machine learning tools to select features, create, and optimize classifiers Qualifications: • Programming Skills: Expertise in Python; Scala/Java knowledge is an advantage, • OpenTelemetry Expertise: Strong understanding of OpenTelemetry stack (VMs, middleware like IIS/Apache, hypervisors, databases, etc.) and OTLP formatting/structuring, • Ability to correlate streaming OLTP data from multiple components and generate actionable insights using ML models, • Strong analytical and problem-solving skills, • Experience with feature selection, classifier creation, and optimization

Data Scientist / Machine Learning Engineer. Develop predictive systems and machine learning algorithms. Use machine learning tools to select features, create, and optimize classifiers.

Positions: Machine Learning Engineer & Machine Learning Researcher. Work on advanced learning approaches such as reinforcement learning and imitation learning. PhD or advanced degree in Robotics, Machine Learning, or a similar field.

Remote (UK-based) | 💰 Up to £110,000.We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a.Has deep ML theory knowledge — ideally a PhD/postdoc in AI/ML.Advocates for AI productivity tools and uses them daily.Is commercially minded, tech-savvy, and

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data scientists, and part working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that can read, understand, and structure complex documents at scale. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machine learning lifecycle — while contributing to a product used by real-world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them into structured insights. ⚙ Hands-On ML Experience – Learn the full ML workflow — from cleaning data to deploying models and monitoring them in production. 📈 Mentorship & Growth – Work closely with experienced ML engineers who will guide your technical and career development. 🤝 Collaborative Environment – Pair with engineers, data scientists, and domain experts to solve real-world challenges. 🏢 Hybrid Flexibility – Balance focused remote work with in-person collaboration at our office. What We’re Looking For: • 0–2 years of experience in machine learning, applied AI, or data science (personal projects and internships count!), • Solid Python skills and familiarity with libraries like PyTorch, TensorFlow, or Hugging Face Transformers, • Understanding of basic ML concepts and data preprocessing techniques, • Interest in NLP, unstructured data, and information extraction, • Eagerness to learn, take feedback, and contribute to a collaborative team Nice to Have: • Experience with SQL/NoSQL databases, • Familiarity with MLOps tools (Docker, Git, CI/CD), • Exposure to vector databases or semantic search, • Knowledge of financial datasets or document processing workflows If you’re excited to grow your skills in machine learning and work on technology that helps people understand complex data — we’d love to hear from you. Apply now and start your journey building the future of data-driven insight.

The Explore Group are working with one of our tier 1 clients in securing an experienced Machine Learning Engineer with strong expertise in Computer Vision to join our team on a 6 month initial contract (with guaranteed extensions).

Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. Lead Machine Learning Engineer. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recomm

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence?. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machine learning lifecycle — while contributing to a product used by real-world clients. You

Working in theSearch & Match domain, you willbe focusing on deploying and scaling machine learning models, particularly large language models (LLMs). You will work with software engineers to set up modern machine learning pipelines ensuring high operational standards. If youd like to make a differen

Collaborate with data engineers, scientists and product owners to operationalize workflows for reliable, seamless model deployment and monitoring. As a Mid-Level ML Engineer within the International Consumer Bank at JPMorgan Chase, you'll work alongside ML scientists, Data Engineers and software eng

Design, develop, and implement generative AI and machine learning solutions for commercial real estate. Proven ability to design, test, and deploy production-ready machine learning so.

This full-time Machine Learning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. As a Machine Learning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models.

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence?. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machine learning lifecycle — while contributing to a product used by real-world clients. You

Lorien's leading banking client is looking for a Machine Learning Engineer to join the growing data science and AI team. You'll play a key role in designing, developing, and deploying scalable machine learning solutions using. Design and implement machine learning models for classification, regressi

This isnt your average ML infrastructure role - it sits right at the intersection of cloud engineering and machine learning. Theyre now looking for their first ML Engineer, someone who can build out and own the foundations of their ML and cloud environment as the business scales. Youll be reporting

Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provid

Senior Platform Engineer Location: London (hybrid, 3 days onsite) Salary: Up to £64,000 + Bonus Clearance Requirement: Candidates must be eligible for UK DV clearance We are seeking an experienced Senior Platform Engineer to join a high-impact team delivering mission-critical projects. You will work on secure, cutting-edge solutions that make a tangible difference, alongside some of the brightest minds in technology. Technical Expertise Core tech stack: Terraform, AWS (preferred), Azure, CI/CD You will also bring experience in: • 5+ years experience in platform engineering, • Programming in one or more languages: JavaScript, Java, .Net, Python, • Experience mentoring, coaching or managing others in the team, • Designing and building Proof of Concept and Production systems collaboratively, • Source control (e.g. Git, Mercurial, Perforce), • CI/CD tools (e.g. Bamboo, Jenkins, TeamCity, Bitbucket), • Automated testing frameworks and static code analysis tools (e.g. SonarQube), • Agile methodologies (Scrum, Kanban, Lean) Desirable Skills • Cloud platforms: AWS, Azure, • Containerisation: Docker, Kubernetes, • Machine Learning frameworks (AWS/Azure ML, TensorFlow), • Relational, document, or graph databases, • Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and rewarding environment, apply now.

Senior Platform Engineer Manchester or London (Hybrid) Up to £72,000 + Bonus – Permanent 🚀 Join a national security programme at the heart of the UK’s critical infrastructure. We’re growing our Platform Engineering capability to deliver cutting-edge solutions that make a real difference. You’ll be part of a collaborative consulting-style environment, working alongside specialists and generalists, designing and building systems that keep the country safe. What you’ll be doing • Designing and delivering production-grade and proof-of-concept systems for high-impact projects, • Building modern, secure, and scalable solutions using the latest tooling and engineering practices, • Embedding quality through automated testing, CI/CD pipelines and code analysis tools, • Working in agile, multidisciplinary teams to solve complex client challenges, • Supporting a culture of innovation and knowledge-sharing, with opportunities to mentor and get involved in wider tech and cyber skills initiatives Experience required • Strong background in software engineering with one or more languages (Java, JavaScript, .Net, Python), • Hands-on experience with version control (Git, Mercurial, etc.) and CI/CD tools (Jenkins, Bamboo, TeamCity, Bitbucket), • Proven track record delivering in agile environments (Scrum, Kanban, Lean), • Understanding of software design patterns and engineering best practices, • Current SC clearance is a bonus – otherwise, you must be eligible Nice to have (or we’ll help you get there): • Cloud platforms (AWS, Azure), • Containerisation (Docker, Kubernetes), • Database systems (SQL, NoSQL, Graph), • Configuration & deployment tools (Ansible), • Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package • Up to £72,000 base salary, • Bonus scheme, • Hybrid working – London or Manchester hub, • Private healthcare & pension, • Career development pathways in a consulting-style environment, • Opportunities to contribute to community tech initiatives 💡 To hear more about the role, get in touch with me directly.

Senior Platform Engineer Location: London (hybrid, 3 days onsite) Salary: Up to £64,000 + Bonus Clearance Requirement: Candidates must be eligible for UK DV clearance We are seeking an experienced Senior Platform Engineer to join a high-impact team delivering mission-critical projects. You will work on secure, cutting-edge solutions that make a tangible difference, alongside some of the brightest minds in technology. Technical Expertise Core tech stack: Terraform, AWS (preferred), Azure, CI/CD You will also bring experience in: • 5+ years experience in platform engineering, • Programming in one or more languages: JavaScript, Java, .Net, Python, • Experience mentoring, coaching or managing others in the team, • Designing and building Proof of Concept and Production systems collaboratively, • Source control (e.g. Git, Mercurial, Perforce), • CI/CD tools (e.g. Bamboo, Jenkins, TeamCity, Bitbucket), • Automated testing frameworks and static code analysis tools (e.g. SonarQube), • Agile methodologies (Scrum, Kanban, Lean) Desirable Skills • Cloud platforms: AWS, Azure, • Containerisation: Docker, Kubernetes, • Machine Learning frameworks (AWS/Azure ML, TensorFlow), • Relational, document, or graph databases, • Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and rewarding environment, apply now.