data engineer

ai engineer

machine learning engineer

senior ai engineer

senior data engineer

ai and analytics engineer

Cognizant

Cloud Architect (DevSecOps & LLMOps Engineer)
<br><b>Location:</b> London, United Kingdom (Hybrid – 50% work from client office)
<br><b>Employment Type:</b> Full-time
<br><b>Security Clearance:</b> Must hold or be eligible to obtain UK Security Check (SC) Clearance
<br>About the Role
<br>As a Cloud Architect (DevSecOps & LLMOps Engineer) , you will make an impact by designing, building, securing, and operating scalable cloud infrastructure and enterprise Generative AI applications that drive automation, observability, and modern LLMOps practices. You will be a valued member of our Cloud & AI Engineering team and work collaboratively with architects, developers, security teams, and business stakeholders to deliver secure, resilient, scalable, and cost-effective cloud and AI solutions using AWS Bedrock and related technologies.
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<b>In this role, you will:</b><br>
Design, implement, and support secure, scalable AWS infrastructure and AI platforms using Terraform, GitHub Actions, Ansible, ECS/Fargate, and AWS native services.
<br>Build and operationalise enterprise GenAI solutions using Amazon Bedrock, LLMs, RAG pipelines, vector databases, embeddings, chunking strategies, workflow orchestration (DAG/agentic), and AI observability.
<br>Develop and maintain CI/CD pipelines, Infrastructure as Code, API integrations, cloud security, IAM governance, monitoring, logging, and production BAU support.
<br>Configure and manage application observability using Datadog (or equivalent), including dashboards, APM, log analytics, infrastructure monitoring, alerting, and operational health reporting.
<br>Collaborate with architects, developers, security teams, and business stakeholders to deliver secure, resilient, scalable, and cost-effective cloud and AI solutions.
<br>What You Need to Have to Be Considered
<br>Strong hands-on experience with AWS services including Amazon Bedrock, ECS/Fargate, Lambda, EC2, API Gateway, VPC, ALB, IAM, CloudWatch, S3, EFS, DynamoDB, and Neptune, alongside Infrastructure as Code using Terraform.
<br>Strong experience with DevSecOps practices including GitHub Actions, Ansible, Docker, CI/CD automation, security scanning, secrets management, monitoring, logging, and production support.
<br>Good understanding of LLMOps concepts including LLMs, RAG, embeddings, chunking, vectorisation, vector databases, semantic search, prompt engineering, workflow orchestration (DAG/LangGraph), AI guardrails, and model evaluation.
<br>Strong experience with API Management platforms such as Amazon API Gateway, Kong, Apigee, or equivalent — with the ability to design, configure, and implement API proxy workflows, authentication, routing, policies, transformations, and API integrations.
<br>Strong experience with Datadog (or equivalent monitoring platform) for dashboard creation, application monitoring, alert configuration, APM, log analytics, and performance troubleshooting.
<br>Excellent communication, stakeholder management, and client-facing skills.
<br>Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
<br>Must currently reside in the United Kingdom.
<br>Must be available to start within 4 weeks of receiving an offer.
<br>Must hold or be eligible to obtain UK Security Check (SC) Clearance.
<br>These Will Help You Stand Out
<br>Experience with Kubernetes/EKS, Docker, ServiceNow, Jira, GitHub Runners, CloudFormation, Route 53, WAF, EventBridge, Step Functions, and serverless architectures.
<br>Hands-on experience with Python development for automation, API integrations, scripting, and cloud-native application development.
<br>Experience building AI data pipelines, including document ingestion, preprocessing, metadata enrichment, chunking, embedding generation, vector indexing, and retrieval workflows.
<br>Familiarity with AI prompt development, prompt tuning, prompt templates, and prompt evaluation techniques.
<br>Exposure to vector databases, OpenSearch, LangChain/LangGraph, knowledge graphs (Neptune), cloud networking, security best practices, cost optimisation, and enterprise production support.
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<b>Additional eligibility requirements:</b><br>
<ul>
<li>Candidates must hold or be eligible to obtain UK Security Check (SC) Clearance</li>
<li>Candidates must be available to start within 4 weeks of receiving an offer.</li>
</ul>
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Cloud Architect

NTT DATA

Make an impact with NTT DATA
<br>Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
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Your day at NTT DATA
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We are seeking a highly skilled Databricks Data Engineer to join our Data AI practice. The successful candidate will have deep expertise in building scalable data pipelines, optimizing Lakehouse architectures and enabling advanced analytics and AI use cases on the Databricks platform. This role is critical in building and optimizing modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients.
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As a trusted practitioner, you will design and implement robust ETL/ELT workflows, integrate real-time and batch data sources, and enable secure, well-governed data products and pipelines. You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation and ensuring the seamless delivery of data solutions.
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Looking ahead to future opportunities. As our business continues to grow, we are building a pipeline of exceptional talent for upcoming positions across the UK. This advertisement is intended to identify and engage candidates in advance of specific vacancies becoming available. We encourage you to apply if you would like to be considered for future opportunities that match your expertise
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Primary Responsibilities
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<li>Client Engagement Delivery</li>
<li>Data Pipeline Development (Batch and Streaming)</li>
<li>Databricks Lakehouse Architectures</li>
<li>Data Modelling Optimisation (Delta Lake, Medallion architecture)</li>
<li>Collaboration Best Practices</li>
<li>Quality, Governance Security</li>
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Business Relationships
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<li>Solution Architects</li>
<li>Data Engineers, Developers, ML Engineers, and Analysts</li>
<li>Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership</li>
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<b>To thrive in this role, you need to have:</b><br>
Key Competencies
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<li>Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms.</li>
<li>Strong consulting values with ability to collaborate effectively in client-facing environments.</li>
<li>Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.</li>
<li>Strong problem-solving, analytical, and communication skills.</li>
<li>Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions.</li>
</ul>
Technical Expertise
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<li>Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow).</li>
<li>Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.</li>
<li>Strong SQL and Python (or equivalent language) skills for data manipulation and automation.</li>
<li>Hands-on experience with cloud platforms (AWS, Azure, GCP).</li>
<li>Familiarity with Databricks Workflows and other orchestration tools.</li>
<li>Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).</li>
<li>Familiarity with medallion architectures, data lakehouse principles and distributed data processing.</li>
<li>Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.</li>
<li>Understanding of data governance, security, and compliance frameworks.</li>
<li>Exposure to AI/ML workloads desirable.</li>
</ul>
Experience, Qualifications, and Education
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<li>Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3 years working with Databricks.</li>
<li>Education: University degree required.</li>
<li>Preferred: BSc/MSc in Computer Science, Data Engineering, or related field</li>
<li>Databricks certifications (Data Engineer Professional) highly desirable.</li>
</ul>
Measures of Success
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<li>Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.</li>
<li>High client satisfaction and successful adoption of Databricks-based solutions.</li>
<li>Demonstrated ability to innovate and improve data engineering practices.</li>
<li>Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.</li>
</ul>
<b>Workplace type:</b><br>
About NTT DATA
<br>NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune
<br><br>
Global 100. We are committed to accelerating client success and positively impacting society through
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responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with
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unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and
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application services. Our consulting and industry solutions help organizations and society move
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confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more
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than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as
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established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each
<br><br>
year in RD.
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Equal Opportunity Employer
<br>NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
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Third parties fraudulently posing as NTT DATA recruiters
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NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Databricks Data Engineer

Databricks

<div><p><b>The Role</b></p>
<p>As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present&mdash;combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage.</p>
<p><b>The Impact You Will Have</b></p>
<ul><li>Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning</li>
<li>Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins</li>
<li>Own frontline technical relationships with customer engineers, data teams, and technical leads</li>
<li>Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption</li>
<li>Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations</li>
<li>Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community</li>
</ul><p><b>What We Look For</b></p>
<ul><li>4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role</li>
<li>Proficient in Python and PySpark/Spark with demonstrated ability to debug, optimize, and write production-quality code &mdash; live coding is a required interview stage</li>
<li>Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)</li>
<li>Working knowledge of distributed data systems: Apache Spark&trade;, Delta Lake, or equivalent (Hadoop, Kafka, Flink)</li>
<li>Experience leading technical customer conversations &mdash; discovery, whiteboarding, architecture reviews</li>
<li>Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics</li>
<li>Strong presentation and demo skills &mdash; you will build and present a live solution during the interview</li>
<li>Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)</li><br>
</ul><p><br>
<b>Nice to Have:</b></p>
<ul><li>Databricks certification or experience with the Databricks Platform</li>
<li>Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow</li>
<li>Background at a data/AI company, cloud provider, or technical consulting firm</li>
</ul><p><b>Interview Process:</b> Recruiter Screen Hiring Manager Screen Design and Architecture Interview Live Coding Assessment Build, Demo, Pitch! Presentation Reference Check</p><br>
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<div><p><b>About Databricks</b></p>
<p>Databricks is the Data and AI company. More than 20,000 organizations worldwide &mdash; including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 &mdash; rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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<b>Benefits
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At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.<br>
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</p><p><b>Our Commitment to Diversity and Inclusion</b></p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><b>Compliance</b></p>
<p><b>If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</b></p></div></div>

Sr. Solutions Engineer

National Grid

<div><div><div><div><div><div><div>Team</div>
<div><b>Information Technology and Digital</b>
</div><div>Business Unit</div>
<div><b>IT and Digital</b>
</div><div>Requisition No.</div>
<div><b>10530</b>
</div><div><div>City</div>
<div><b>London, GB, WC1A 2TH</b>
</div><div><b>Warwick, GB, CV34 6DA</b>
</div></div><div>Date posted</div>
<div><b>27 August 2026</b></div></div></div><p></p><div><br>
</div></div><div></div><div><h1 class="jobSectionHeader"><b>Senior AI Full Stack Engineer</b></h1><div><div><div><div><br>
</div><div><p>At National Grid, we keep people connected and society moving. But it&rsquo;s so much more than that. National Grid supplies us with the environment to make it happen. As we generate momentum in the energy transition for all, we don&rsquo;t plan on leaving any of our customers in the dark. So, join us as a <b>Senior AI Full Stack Engineer </b>and find your superpower.</p>
<p>This is a senior design role for someone who can operate across product design, AI-assisted delivery, strategic discovery and hands-on product development. The role is not limited to producing design artefacts or handing over designs to engineering. It is expected to work directly with product owners, engineers, data teams and senior stakeholders to turn ambiguous strategic intent into usable, valuable and deliverable product experiences.</p>
<p>An immediate focus for the role is the Strategic Review platform: National Grid&rsquo;s internal tool for programme visibility, strategic initiative tracking and executive-level data storytelling. The platform includes a proof-of-concept Connections Dashboard moving toward production, a financial reporting capability being scoped, and an evolving AI layer that will support analysis and chat against underlying data.</p>
<p>The Senior AI Product Designer will be responsible for the design quality, user experience and interaction model of these AI-enabled products. They will work across discovery, prototyping, interface design, design-system alignment, AI interaction design, and &mdash; where appropriate &mdash; AI-assisted front-end implementation. The role is expected to help collapse the gap between design intent and working software, using AI tools to move quickly from concept to tested, usable product experiences.</p>
<p>This role is for someone who can operate with senior autonomy: absorbing ambiguous problems, shaping them into clear product direction, creating high-quality design outputs, and partnering closely with engineering to make sure what is shipped is not only functional, but genuinely usable and valuable.</p>
<p><b>This role operates under a hybrid working model and is based out of the Warwick,UK office. Hybrid work expectations are subject to business needs and company polic</b></p>
</div></div><div><div><h3 class="jobSectionHeader"><b>Job Purpose</b></h3>
</div><div><p>We are looking for an AI Engineer to help design, build and operate AI-enabled internal products and platforms across National Grid.</p>
<p>This is a hands-on senior engineering role for someone who can move confidently between modern web application development and applied AI engineering. The role is not focused solely on model development or experimentation. It is responsible for turning AI capabilities into secure, maintainable and production-ready products that solve real organisational problems.</p>
<p>An immediate focus is the Strategic Review platform: National Grid's internal tool for programme visibility, strategic initiative tracking and executive-level data storytelling. The platform includes a Connections Dashboard moving toward production, a financial reporting capability being scoped, and an evolving AI layer supporting analysis and conversational access to underlying data.</p>
<p>The AI Engineer will develop this AI layer and the wider product capabilities around it. This includes building chat interfaces, agentic workflows, tool integrations, structured outputs, retrieval and grounding mechanisms, evaluation frameworks, observability, and appropriate human-in-the-loop controls.</p>
<p>The role requires strong experience with TypeScript, React and modern full-stack web development. Experience with the Vercel AI SDK is particularly valuable, including streaming interfaces, tool calling and agent orchestration. Payload CMS experience is a significant advantage because it is used extensively across the platform.</p>
<p>This role is for someone who can operate with senior autonomy: understanding ambiguous requirements, shaping sound technical approaches, delivering high-quality software and working closely with product, design, data, architecture and security teams to take AI products from proof of concept into production.</p>
</div></div><div><div><h3 class="jobSectionHeader"><b>What You'll Do
</b></h3></div><div><div><h4 class="jobSectionHeader"><b>AI Product Development</b></h4>
<ul><li>Design and develop full-stack AI applications using TypeScript, React, and modern web technologies.</li>
<li>Build conversational interfaces with streaming responses, intuitive user experiences, and robust error handling.</li>
<li>Develop AI solutions using frameworks such as Vercel AI SDK, LangGraph, LangChain, or similar platforms.</li>
<li>Translate business requirements into scalable, maintainable technical solutions.</li>
<li>Create reusable patterns for AI chat, workflow automation, content generation, and analytics.</li>
<li>Integrate AI capabilities into existing products and business processes.</li>
<li>Ensure high standards of performance, security, accessibility, maintainability, and code quality.</li>
</ul><h4 class="jobSectionHeader"><b>Agentic Systems &amp; Conversational AI</b></h4>
<ul><li>Design and implement AI agents capable of multi-step reasoning, tool selection, and workflow execution.</li>
<li>Develop integrations with enterprise applications, APIs, and approved data sources.</li>
<li>Define agent state, memory, context management, validation rules, retry logic, and failure handling.</li>
<li>Implement human-in-the-loop approval processes for sensitive or high-impact actions.</li>
<li>Ensure transparency through source attribution, execution tracking, and auditability.</li>
</ul><h4 class="jobSectionHeader"><b>AI Quality, Evaluation &amp; Observability</b></h4>
<ul><li>Develop evaluation frameworks, test datasets, and quality metrics for AI features.</li>
<li>Monitor answer quality, groundedness, tool usage, latency, output accuracy, and operational cost.</li>
<li>Implement logging, tracing, monitoring, and observability capabilities for AI workflows.</li>
<li>Continuously improve prompts, models, tools, and workflows through data-driven feedback.</li>
<li>Manage prompts, model configurations, and evaluation criteria as version-controlled assets.</li>
</ul><h4 class="jobSectionHeader"><b>Data &amp; Integration</b></h4>
<ul><li>Integrate AI capabilities with structured and unstructured enterprise data sources.</li>
<li>Implement retrieval, grounding, and context-engineering strategies to improve response quality.</li>
<li>Build secure integrations with APIs, content management systems, data platforms, and business applications.</li>
<li>Ensure compliance with data security, authorization, governance, and audit requirements.</li>
<li>Support source attribution, data lineage, and information freshness controls.</li>
</ul><h4 class="jobSectionHeader"><b>Engineering &amp; Delivery</b></h4>
<ul><li>Write clean, tested, maintainable code following established engineering standards.</li>
<li>Participate in architecture reviews, technical design discussions, and code reviews.</li>
<li>Implement automated testing across applications, integrations, and AI workflows.</li>
<li>Support continuous delivery while managing technical debt and maintaining enterprise standards.</li>
<li>Establish best practices for AI-assisted development tools, including GitHub Copilot, Claude Code, and related platforms.</li>
</ul><h4 class="jobSectionHeader"><b>Collaboration &amp; Leadership</b></h4>
<ul><li>Partner with Product, Design, Architecture, Security, Data, and Engineering teams.</li>
<li>Provide technical expertise throughout discovery, design, development, testing, deployment, and adoption.</li>
<li>Communicate technical recommendations, trade-offs, and risks to stakeholders.</li>
<li>Mentor engineers and contribute to AI engineering standards and best practices.</li>
<li>Help establish scalable frameworks for enterprise AI product delivery.</li>
</ul></div></div></div><div><div><h3 class="jobSectionHeader"><b>What You'll Get
</b></h3></div><div><ul><li>Proven experience as a senior Software Engineer, AI Engineer, Full-Stack Engineer or equivalent, delivering complex digital products.</li>
<li>Strong professional experience with TypeScript and React.</li>
<li>Experience building modern full-stack web applications using frameworks such as Next.js.</li>
<li>Practical experience building AI-enabled product features, not only isolated model experiments or notebooks.</li>
<li>Experience with the Vercel AI SDK or comparable AI application frameworks.</li>
<li>Experience building conversational or chatbot interfaces, including streaming responses and interaction-state management.</li>
<li>Understanding of agentic systems, tool calling, structured outputs and multi-step AI workflows.</li>
<li>Experience integrating large language models with application data and external services.</li>
<li>Ability to design clear boundaries between deterministic code and model-driven behaviour.</li>
<li>Strong understanding of API design, authentication, authorisation and secure data handling.</li>
<li>Experience testing and debugging asynchronous, distributed or integration-heavy application behaviour.</li>
<li>Understanding of AI evaluation, observability, grounding and common failure modes.</li>
<li>Ability to translate ambiguous product requirements into sound technical designs and working software.</li>
<li>Strong engineering judgement, including the ability to balance delivery speed with maintainability and operational risk.</li>
<li>Comfortable working in a fast-moving, cross-functional team where product, design and engineering decisions are made collaboratively.</li>
<li>Clear written and verbal communication with both technical and non-technical audiences.</li>
<li>High degree of autonomy and ownership from discovery through production support.</li>
</ul></div></div><div><div><h3 class="jobSectionHeader"><b>What You'll Get</b></h3>
</div><div><ul><li>Competitive Salary: circa &pound;65,000 - &pound;80,000 per annum (dependent on location, capability, and experience).</li><br>
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<b>Additional benefits:</b><br>
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</p><ul><li>Flexible benefits such as a cycle scheme, share incentive plan, technology schemes</li>
<li>Ongoing career development and support to help you cover the cost of professional membership subscriptions, course fees, books, examination fees and time off for study leave &ndash; so long as it is relevant to your role</li>
<li>Access to apps such as digital GP service for round the clock access to GP video consultations and NHS repeat prescriptions, wellbeing app to support your health and fitness</li>
<li>Access to Work + Family Space, providing support and resources for work and family life, including paid emergency childcare and eldercare</li>
</ul><p>#LI-RK1 #LI-HYBRID</p>
</div></div></div><p>We value diversity and are committed to creating an inclusive workplace for all. We welcome applications from all suitably qualified candidates &ndash; we make appointments purely on merit, assessed against objective selection criteria. We support flexible working and will make reasonable adjustments throughout the recruitment process should you have any physical or mental impairment which may affect your ability to participate in the process.</p>
<p>Please note that in most cases, National Grid is unable to offer sponsorship for employment under the UK points-based immigration system. As such, applicants must have the legal right to work in the UK without requiring sponsorship now or in the future under the UK points-based immigration system. However, in exceptional circumstances where there is a clear and demonstrable need for specialist skills that cannot be sourced from the local labour market, National Grid may consider offering sponsorship. All applications are welcome from candidates who meet these requirements, regardless of race, nationality, or ethnic origin.</p></div></div></div></div></div><div></div>

Senior AI Full Stack Engineer

Xantura Limited

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 <p>
  <strong>
   Department:
  </strong>
  Platform Delivery
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   Location:
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  London
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   Compensation:
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  &pound;50,000 - &pound;70,000 / year
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  Description
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 In this role you will work in the Platform team &ndash; a function for the deployment and evolution of the backend platform that underpins the core of the Xantura business.
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  Key Responsibilities
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   Own and advance a predictive modelling platform that scales across problem types and tenants, using it to design, implement, and iterate models (embedding-based sequence encoders, temporal survival models, gradient-boosted decision trees) that predict key vulnerabilities in housing, health, and other social domains.
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   Track developments in ML and frontier models, running structured experiments to bring promising techniques into production safely.
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   Build robust evaluation pipelines, training datasets, and model infrastructure to support continuous improvement of natural language &amp; predictive analytics.
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   Ensure responsible AI deployment, embedding ethical and regulatory considerations into every stage of development.
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  Skills, Knowledge &amp; Expertise
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   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Machine Learning, or a related technical field &ndash; or equivalent practical experience.
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   3+ years of professional experience as an ML Engineer, or related role.
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   Strong programming skills and production experience in Python.
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   Experience building and maintaining data or ML pipelines with an orchestration tool such as Dagster (or Airflow, Prefect, etc.).
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   Hands-on experience with common ML libraries and frameworks, e.g. PyTorch, scikit-learn, and gradient-boosting libraries such as XGBoost or LightGBM.
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   Clear evidence of practical experience defining and deploying containerised systems, i.e.:
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     Implementing APIs for internal services, e.g. via FastAPI;
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     Deploying containerised systems to production, in particular via Kubernetes.
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  In addition, the following would be an advantage:
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   PhD in Computer Science, Machine Learning, or a related field with a strong publication record in text analytics, representation learning, or applied predictive modelling.
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   Practical experience productionising LLMs, i.e.:
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     Working with vector databases and developing retrieval-augmented generation (RAG) pipelines &ndash; experience setting up/configuring vector DBs, as well as using, would be advantageous;
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     Finding and productionising recent AI models (e.g. via Huggingface (transformers), OpenAI APIs);
    </li>
    <li>
     Building agentic systems (e.g. via LangChain, AutoGen, PydanticAI).
    </li>
   </ul>
  </li>
  <li>
   Evidence of participating in Open-Source Software (OSS) development, public hackathons, or other sharable coding samples.
  </li>
  <li>
   Deep expertise in embedding-based architectures, including bi-encoders, cross-encoders, etc. for long-horizon text or temporal prediction tasks.
  </li>
  <li>
   Practical experience building and serving production-ready, asynchronous APIs for embedding and/or other compute-intensive services.
  </li>
  <li>
   Proficiency in Python for building high-performance data and model pipelines, with strong software engineering discipline (testing, versioning, CI/CD).
  </li>
  <li>
   Good familiarity with the Azure ecosystem (Azure Kubernetes Service, Azure Batch, Azure AI Foundry, Azure Machine Learning, Azure Blob Storage, Azure Key Vault) .
   <br/>
  </li>
 </ul>
 This is a Hybrid opportunity with the expectations of being in the office 1 - 2 days a week.
 <br/>
 <br/>
 <strong>
  Job Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary reviewed annually
  </li>
  <li>
   Work for a passionate, mission-driven company solving society&rsquo;s big problems
  </li>
  <li>
   Work flexible hours around life commitments with a focus on delivering company value rather than hours worked
  </li>
  <li>
   Training and development opportunities
  </li>
  <li>
   25 days annual leave (plus bank holidays)
  </li>
  <li>
   Company pension
  </li>
  <li>
   Private medical insurance
  </li>
  <li>
   Generous enhanced parental leave policies
  </li>
  <li>
   Cycle to work scheme
  </li>
  <li>
   Flu Vaccinations,
  </li>
  <li>
   Eye Test and contribution towards Glasses for VDU use
  </li>
  <li>
   Employee Assistance Programme
   <ul>
    <li>
     Mental health and wellbeing support
    </li>
    <li>
     Remote GP access
    </li>
    <li>
     Counselling/therapy
    </li>
    <li>
     Physiotherapy
    </li>
    <li>
     Medical second opinions
     <br/>
    </li>
   </ul>
  </li>
 </ul>
</div>


Machine Learning Engineer

RS Group

<div><p><b>AI Automation Specialist (Pricing) - Graduate Apprenticeship Programme</b></p>
<p>
Are you a Data Analytics, Data Science, Mathematics, Computer Science, Economics, or Business Analytics graduate looking to launch your career in AI, automation, and commercial analytics?</p>
<p>
Do you enjoy solving complex problems with data, building models, writing code, and turning insights into real business outcomes?</p>
<p>
If you answered &lsquo;Yes&rsquo; to the above, then read on...</p>
<p>
At RS Group, we're passionate about developing the next generation of digital and data talent. This is an exciting opportunity to join our <b>Pricing Team</b> as an <b>AI Automation Specialist</b>, where you'll work on real business challenges while developing your skills through a <b>Level 6 Machine Learning apprenticeship programme</b>.</p>
<p></p>
<p><b>About the Role</b></p>
<p>
As an AI Automation Specialist, you'll help transform how pricing decisions are made by using data, analytics, machine learning, and automation to drive commercial performance.</p>
<p>
You'll join a team focused on delivering intelligent solutions that improve pricing effectiveness, automate processes, and generate actionable insights. This role is ideal for graduates who are passionate about data and technology and want to apply their technical skills to solve real-world business problems. You'll work alongside experienced pricing, analytics, and technology professionals on projects that have a direct impact on business performance.</p>
<p>
Alongside your day-to-day role, you'll receive structured development and training, building both your technical expertise and commercial understanding.</p>
<p></p>
<p><b>What You'll Be Doing</b></p>
<p>
You'll gain hands-on experience across a range of exciting projects, including:</p>
<ul>
<li>Developing analytics and automation solutions that support pricing decisions</li>
<li>Using <b>Python and SQL</b> to analyse large datasets and generate business insights</li>
<li>Supporting the development of machine learning and AI-driven pricing models</li>
<li>Building and maintaining data pipelines and automated reporting processes</li>
<li>Exploring customer behaviour, pricing trends, elasticity, and commercial performance</li>
<li>Creating dashboards, visualisations, and presentations that communicate complex findings clearly</li>
<li>Working with stakeholders across Pricing, Commercial, Technology, and Data teams</li>
<li>Identifying opportunities to improve processes through automation and AI</li>
<li>Supporting the adoption of new tools, solutions, and best practices across the business</li>
<li>Contributing to RS Group's wider AI and digital transformation ambitions</li>
</ul>
<p></p><p><b>What We're Looking For</b></p>
<p>
We're looking for curious, analytical, and ambitious graduates who want to build a career at the intersection of data, AI, and commercial decision-making.</p>
<p><b>
Essential Skills &amp; Experience</b></p>
<ul>
<li>Strong <b>Python</b> skills</li>
<li>Strong <b>SQL</b> skills</li>
<li>Excellent analytical and problem-solving capability</li>
<li>Ability to interpret and communicate data-driven insights</li>
<li>Strong interpersonal and collaboration skills</li>
<li>Interest in machine learning, AI, automation, and advanced analytics</li>
<li>Confidence presenting findings to non-technical stakeholders</li>
<li>Creative thinking and a passion for finding innovative solutions</li>
</ul>
<p><b>Ideal but Not Essential</b></p>
<p>
We'd particularly like to hear from candidates who have exposure to:</p>
<ul>
<li>Statistics, machine learning, or predictive modelling</li>
<li>Data engineering and feature engineering concepts</li>
<li>Pricing, economics, or commercial analytics (e.g. willingness to pay, price elasticity, share of wallet)</li>
<li>Stakeholder management and storytelling with data</li>
<li>Snowflake or AWS</li>
<li>Databricks or Spark</li>
<li>SAP, Salesforce, or ERP systems</li>
<li>Power BI</li>
</ul>
<p></p><p><b>What Qualification Do You Need?</b></p>
<ul>
<li>A Bachelor's degree in a technical or analytical subject such as:</li>
<li><ul><li>Data Analytics</li>
<li>Data Science</li>
<li>Computer Science</li>
<li>Mathematics</li>
<li>Statistics</li>
<li>Economics</li>
<li>Business Analytics</li>
<li>Engineering</li>
<li>Or a related discipline</li>
</ul></li>
</ul><p><b>You'll thrive in this role if you:</b></p>
<ul>
<li>Enjoy working with data to answer questions and solve problems</li>
<li>Are naturally curious and regularly explore new technologies and AI tools</li>
<li>Feel comfortable experimenting, learning, and improving ideas through evidence and feedback</li>
<li>Can spot patterns, synthesise insights, and turn them into clear recommendations</li>
<li>Are excited by technology but not intimidated by technical concepts or teams</li>
<li>Want to help shape the future of AI-powered customer experiences</li>
</ul>
<p></p><p><b>Why Join RS Group?</b></p>
<p>
Across the industrial design, manufacturing, and maintenance worlds, RS Group is the digital destination for product and service solutions. We support customers globally through innovative technology, data, and commercial expertise.</p>
<p>
As part of our early careers programme, you'll benefit from:</p>
<ul>
<li>A strong competitive salary</li>
<li>A structured development pathway with a recognised apprenticeship qualification</li>
<li>Exposure to AI, advanced analytics, pricing, and automation projects</li>
<li>Mentoring from experienced data, pricing, and technology professionals</li>
<li>Opportunities to work on high-impact business initiatives</li>
<li>Hybrid working and a collaborative team environment</li>
<li>Clear career progression opportunities within analytics, data science, pricing, and AI</li>
</ul>
<p></p><p><b>Ready to Apply?</b></p>
<p>
If you're a graduate who enjoys coding, analysing data, solving problems, and using technology to make a genuine business impact, we'd love to hear from you.</p>
<p>
Apply now and start your career journey with RS Group's Pricing Team as an <b>AI Automation Specialist Apprentice</b>.</p></div>

Apprentice AI Automation Specialist (Pricing)

Make an impact with NTT DATA
<br>Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
<br><br>
Your day at NTT DATA
<br><br>
We are seeking an accomplished and detail-oriented Snowflake Data Engineer to join our Data AI practice. The successful candidate will bring deep expertise in data engineering, ETL/ELT pipelines, and cloud-native data platforms, with a strong focus on Snowflake. This role is critical in building and optimizing modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients.
<br><br>
As a trusted practitioner, you will collaborate with architects, developers, and analysts to design, implement, and maintain secure and high-performing data pipelines. You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation, and ensuring the seamless delivery of data solutions.
<br><br>
Looking ahead to future opportunities. As our business continues to grow, we are building a pipeline of exceptional talent for upcoming positions across the UK. This advertisement is intended to identify and engage candidates in advance of specific vacancies becoming available. We encourage you to apply if you would like to be considered for future opportunities that match your expertise
<br><br>
Primary Responsibilities
<br><ul>
<li>Client Engagement Delivery</li>
<li>Data Pipeline Development (Batch and Streaming)</li>
<li>Snowflake Cloud Data Platforms</li>
<li>Data Architecture Modelling</li>
<li>Collaboration Best Practices</li>
<li>Quality, Governance Security</li>
</ul>
Business Relationships
<br><ul>
<li>Solution Architects</li>
<li>Data Engineers, Developers, ML Engineers and Analysts</li>
<li>Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership</li>
</ul>
<b>To thrive in this role, you need to have:</b><br>
Key Competencies
<br><ul>
<li>Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms.</li>
<li>Strong consulting values with ability to collaborate effectively in client-facing environments.</li>
<li>Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.</li>
<li>Strong problem-solving, analytical, and communication skills.</li>
<li>Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions.</li>
</ul>
Technical Expertise
<br><ul>
<li>Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning).</li>
<li>Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.</li>
<li>Strong SQL and Python (or equivalent language) skills for data manipulation and automation.</li>
<li>Hands-on experience with cloud platforms (AWS, Azure, GCP).</li>
<li>Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).</li>
<li>Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop).</li>
<li>Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.</li>
<li>Understanding of data governance, security, and compliance frameworks.</li>
<li>Exposure to AI/ML workloads desirable.</li>
</ul>
Experience, Qualifications, and Education
<br><ul>
<li>Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3 years working with Snowflake.</li>
<li>Education: University degree required.</li>
<li>Preferred: BSc/MSc in Computer Science, Data Engineering, or related field</li>
<li>Snowflake certifications (SnowPro Core, Advanced) highly desirable.</li>
</ul>
Measures of Success
<br><ul>
<li>Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.</li>
<li>High client satisfaction and successful adoption of Snowflake-based solutions.</li>
<li>Demonstrated ability to innovate and improve data engineering practices.</li>
<li>Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.</li>
</ul>
<b>Workplace type:</b><br>
About NTT DATA
<br>NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune
<br><br>
Global 100. We are committed to accelerating client success and positively impacting society through
<br><br>
responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with
<br><br>
unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and
<br><br>
application services. Our consulting and industry solutions help organizations and society move
<br><br>
confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more
<br><br>
than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as
<br><br>
established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each
<br><br>
year in RD.
<br><br>
Equal Opportunity Employer
<br>NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
<br><br>
Third parties fraudulently posing as NTT DATA recruiters
<br><br>
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Snowflake Data Engineer

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