Full Stack Data Scientist - AI & Knowledge Systems Contract 3-6 months Inside IR35 Negotiable day rate Hybrid working (2-3 days per week in London) About the Role We are seeking an exceptional Full Stack Data Scientist to join our clients innovation team. This role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. We are looking for candidates that can combine technical expertise with a true consulting approach. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions from proof-of-concept to MVP and full production Collaborate with Back End engineers on data pipelines and infrastructure Work within solution architecture frameworks to ensure AI integration Contribute to solution design and technical decision-making Translate business requirements into technical specifications Required Skills & Experience Great experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of Back End systems, data pipelines, and ETL processes Familiarity with cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML workflows (MLOps) Strong programming skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Preferred Qualifications Experience with multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph databases and query languages Experience with deep learning frameworks Background in NLP, computer vision, or reinforcement learning
12/05/2026
Contractor
Full Stack Data Scientist - AI & Knowledge Systems Contract 3-6 months Inside IR35 Negotiable day rate Hybrid working (2-3 days per week in London) About the Role We are seeking an exceptional Full Stack Data Scientist to join our clients innovation team. This role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. We are looking for candidates that can combine technical expertise with a true consulting approach. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions from proof-of-concept to MVP and full production Collaborate with Back End engineers on data pipelines and infrastructure Work within solution architecture frameworks to ensure AI integration Contribute to solution design and technical decision-making Translate business requirements into technical specifications Required Skills & Experience Great experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of Back End systems, data pipelines, and ETL processes Familiarity with cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML workflows (MLOps) Strong programming skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Preferred Qualifications Experience with multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph databases and query languages Experience with deep learning frameworks Background in NLP, computer vision, or reinforcement learning
Job Title: Lead AI Technical Architect (Generative AI) Location: Remote (UK Based) Contract Length: 6 months (High potential for extension) Rate: £550 per day (Inside IR35) Security Clearance: Active SC Clearance Required The Opportunity We are seeking a heavyweight AI Technical Architect with a 15-year pedigree in IT and a deep specialization in the Azure ecosystem. This is a pivotal role sitting at the intersection of Enterprise Architecture and cutting-edge Generative AI. You will be responsible for technical governance, stakeholder management, and the hands-on design of sophisticated AI solutions for a high-profile project. The Role As the Lead Architect, you will guide a dedicated team through the complexities of deploying and fine-tuning generative models. This isn't just a "high-level" role-we need someone who can design the blueprint and then dive into the Python/PySpark code to ensure the foundation is rock solid. Key Responsibilities: Architect & Design: Lead the implementation of on-premises, cloud, and hybrid AI solutions. GenAI Leadership: Deploy and customize a variety of generative models, leveraging Azure OpenAI, Vector Databases, and RAG patterns. Technical Governance: Managed and governed technical teams to ensure best practices in AI data engineering. Stakeholder Management: Act as the primary technical point of contact, gaining consensus on complex solutions across various business units. Knowledge Transfer: Develop and deliver upskilling sessions to ensure long-term project sustainability. Technical Requirements Azure Mastery: Minimum 5 years of hands-on Azure experience with a mandatory AZ-204 (Azure Developer Associate) certification. AI Specialization: Proven experience with Prompt Engineering, Azure OpenAI, Document Intelligence (Form Recognizer), and Cognitive Search. Data Engineering: Expert proficiency in Python and PySpark for large-scale data processing. Operations: Familiarity with MLOps or LLMOps frameworks to support production-grade AI. Seniority: 15+ years of total IT experience, showing a clear progression into technical leadership. Candidate Profile Must hold active SC Clearance. Exceptional communication skills with the ability to present complex technical solutions to non-technical stakeholders. A "hands-on" mentor who enjoys upskilling others. Strong problem-solving skills and a positive, consultative attitude. Preferred Certifications AZ-303/304 or AZ-305 (Azure Solutions Architect Expert) AI-102 (Azure AI Engineer Associate) DP-100 (Azure Data Scientist Associate) Apply: If you would be interested please share your updated CV with your availability to discuss more about this role. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
12/05/2026
Contractor
Job Title: Lead AI Technical Architect (Generative AI) Location: Remote (UK Based) Contract Length: 6 months (High potential for extension) Rate: £550 per day (Inside IR35) Security Clearance: Active SC Clearance Required The Opportunity We are seeking a heavyweight AI Technical Architect with a 15-year pedigree in IT and a deep specialization in the Azure ecosystem. This is a pivotal role sitting at the intersection of Enterprise Architecture and cutting-edge Generative AI. You will be responsible for technical governance, stakeholder management, and the hands-on design of sophisticated AI solutions for a high-profile project. The Role As the Lead Architect, you will guide a dedicated team through the complexities of deploying and fine-tuning generative models. This isn't just a "high-level" role-we need someone who can design the blueprint and then dive into the Python/PySpark code to ensure the foundation is rock solid. Key Responsibilities: Architect & Design: Lead the implementation of on-premises, cloud, and hybrid AI solutions. GenAI Leadership: Deploy and customize a variety of generative models, leveraging Azure OpenAI, Vector Databases, and RAG patterns. Technical Governance: Managed and governed technical teams to ensure best practices in AI data engineering. Stakeholder Management: Act as the primary technical point of contact, gaining consensus on complex solutions across various business units. Knowledge Transfer: Develop and deliver upskilling sessions to ensure long-term project sustainability. Technical Requirements Azure Mastery: Minimum 5 years of hands-on Azure experience with a mandatory AZ-204 (Azure Developer Associate) certification. AI Specialization: Proven experience with Prompt Engineering, Azure OpenAI, Document Intelligence (Form Recognizer), and Cognitive Search. Data Engineering: Expert proficiency in Python and PySpark for large-scale data processing. Operations: Familiarity with MLOps or LLMOps frameworks to support production-grade AI. Seniority: 15+ years of total IT experience, showing a clear progression into technical leadership. Candidate Profile Must hold active SC Clearance. Exceptional communication skills with the ability to present complex technical solutions to non-technical stakeholders. A "hands-on" mentor who enjoys upskilling others. Strong problem-solving skills and a positive, consultative attitude. Preferred Certifications AZ-303/304 or AZ-305 (Azure Solutions Architect Expert) AI-102 (Azure AI Engineer Associate) DP-100 (Azure Data Scientist Associate) Apply: If you would be interested please share your updated CV with your availability to discuss more about this role. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
RecOps is partnered with a leading consultancy to support an AI/Machine Learning project for one of their end clients in the insurance sector. This role is £500 per day, inside IR35, and requires 1 day per week onsite in Central London. Key Skills required: Strong commercial experience as a Machine Learning Engineer or ML Engineer Excellent Python engineering skills , with the ability to build clean, well-tested, production-quality AI/ML systems Experience designing, building and deploying machine learning models into production Strong experience with testing, validation and Python unit testing, ideally using pytest Experience with GenAI/LLMs, including RAG pipelines, embeddings and vector databases Understanding of LLM application risks, including hallucination detection, output validation, prompt injection and jailbreak mitigation Experience with MLOps, CI/CD, model monitoring, versioning and life cycle management Good cloud, Docker and/or Kubernetes experience Ability to work closely with data scientists, software engineers, DevOps teams and business stakeholders If the above sounds like you, please apply now for immediate consideration.
12/05/2026
Contractor
RecOps is partnered with a leading consultancy to support an AI/Machine Learning project for one of their end clients in the insurance sector. This role is £500 per day, inside IR35, and requires 1 day per week onsite in Central London. Key Skills required: Strong commercial experience as a Machine Learning Engineer or ML Engineer Excellent Python engineering skills , with the ability to build clean, well-tested, production-quality AI/ML systems Experience designing, building and deploying machine learning models into production Strong experience with testing, validation and Python unit testing, ideally using pytest Experience with GenAI/LLMs, including RAG pipelines, embeddings and vector databases Understanding of LLM application risks, including hallucination detection, output validation, prompt injection and jailbreak mitigation Experience with MLOps, CI/CD, model monitoring, versioning and life cycle management Good cloud, Docker and/or Kubernetes experience Ability to work closely with data scientists, software engineers, DevOps teams and business stakeholders If the above sounds like you, please apply now for immediate consideration.
Trainee AI Programmer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing - they're all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get 100% online, self-paced training Microsoft AI-900 certification included 1-to-1 tutor and recruitment support Real-world project experience Job guarantee - get a job or your money back Starting salary of £30,000-£45,000 We Get You Hired! We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps
12/05/2026
Full time
Trainee AI Programmer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing - they're all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get 100% online, self-paced training Microsoft AI-900 certification included 1-to-1 tutor and recruitment support Real-world project experience Job guarantee - get a job or your money back Starting salary of £30,000-£45,000 We Get You Hired! We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps
Lead AI Engineer - Permanent - London/Hybrid Permanent Hybrid in Central London Competitive Salary Key Responsibilities Strategic & Architectural Leadership Define and own the technical vision and architecture for AI solutions across the organization Evaluate, select, and standardize AI technologies, frameworks, and third-party services Lead technical design reviews and make critical architectural decisions for complex AI initiatives Drive technical strategy for responsible AI, model governance, and production ML operations Partner with senior leadership (CTO, VPs, Directors) to translate business objectives into technical AI roadmaps Influence product and engineering strategy through technical insights and feasibility assessments Technical Expertise & Execution Act as the go-to technical expert for complex AI challenges across engineering teams Lead proof-of-concepts for emerging AI technologies and assess their production viability Build and deliver production-ready AI and Generative AI solutions using LLMs, RAG architectures, agents, and responsible AI practices Implement and maintain retrieval pipelines using embeddings, vector databases, hybrid search methods, and effective chunking strategies Use AI coding assistants such as Cursor, GitHub Copilot, and Claude Code to accelerate development while maintaining ownership of outcomes and documenting best practices Standards & Enablement Establish and enforce engineering best practices, coding standards, and quality benchmarks for AI development Improve internal AI development tooling, including shared libraries, SDKs, and reference implementations for RAG, tracing, prompt management, and evaluation Mentor engineers across all levels, conduct code reviews, and elevate engineering standards across the organization (upgraded from "mentor peers") Lead internal enablement and capability-building activities across the organization (upgraded from "contribute to") Cross-functional Collaboration Collaborate closely with Product using a working-backwards approach, producing technical designs, breaking down work, and delivering iteratively Partner with Security, Legal, and Data teams to define AI policies, review risks, and ensure privacy, PII protection, and regulatory compliance Skills, Knowledge and Expertise Must Have: 7+ years of software engineering experience with 3+ years focused on production Generative AI and RAG systems Demonstrated experience architecting and scaling complex AI systems in production environments Proven track record of technical decision-making and architectural leadership with measurable business impact Deep technical expertise in LLMs, RAG, agentic workflows, prompt engineering, embeddings, vector databases, and hybrid search techniques Hands-on experience with leading LLM providers (Anthropic Claude, OpenAI), including model selection, evaluation, and optimization Expert-level Python development skills and fluency with AI coding assistants (Cursor, GitHub Copilot, Claude) Production experience with AWS cloud services and container orchestration (Kubernetes), including infrastructure design for ML workloads Strong technical communication skills with ability to influence senior stakeholders and drive consensus across teams Strong data engineering capabilities, including dataset creation, ETL development, and metrics definition (moved from Nice to Have) Solid understanding of ML fundamentals, experimentation methodologies, and model performance optimization (moved from Nice to Have) Nice to Have Experience with model fine-tuning, RLHF, or custom training approaches Familiarity with MLOps platforms and experiment tracking tools Experience with infrastructure as code (Terraform, CloudFormation) Background in NLP research or open-source AI/ML contributions
12/05/2026
Full time
Lead AI Engineer - Permanent - London/Hybrid Permanent Hybrid in Central London Competitive Salary Key Responsibilities Strategic & Architectural Leadership Define and own the technical vision and architecture for AI solutions across the organization Evaluate, select, and standardize AI technologies, frameworks, and third-party services Lead technical design reviews and make critical architectural decisions for complex AI initiatives Drive technical strategy for responsible AI, model governance, and production ML operations Partner with senior leadership (CTO, VPs, Directors) to translate business objectives into technical AI roadmaps Influence product and engineering strategy through technical insights and feasibility assessments Technical Expertise & Execution Act as the go-to technical expert for complex AI challenges across engineering teams Lead proof-of-concepts for emerging AI technologies and assess their production viability Build and deliver production-ready AI and Generative AI solutions using LLMs, RAG architectures, agents, and responsible AI practices Implement and maintain retrieval pipelines using embeddings, vector databases, hybrid search methods, and effective chunking strategies Use AI coding assistants such as Cursor, GitHub Copilot, and Claude Code to accelerate development while maintaining ownership of outcomes and documenting best practices Standards & Enablement Establish and enforce engineering best practices, coding standards, and quality benchmarks for AI development Improve internal AI development tooling, including shared libraries, SDKs, and reference implementations for RAG, tracing, prompt management, and evaluation Mentor engineers across all levels, conduct code reviews, and elevate engineering standards across the organization (upgraded from "mentor peers") Lead internal enablement and capability-building activities across the organization (upgraded from "contribute to") Cross-functional Collaboration Collaborate closely with Product using a working-backwards approach, producing technical designs, breaking down work, and delivering iteratively Partner with Security, Legal, and Data teams to define AI policies, review risks, and ensure privacy, PII protection, and regulatory compliance Skills, Knowledge and Expertise Must Have: 7+ years of software engineering experience with 3+ years focused on production Generative AI and RAG systems Demonstrated experience architecting and scaling complex AI systems in production environments Proven track record of technical decision-making and architectural leadership with measurable business impact Deep technical expertise in LLMs, RAG, agentic workflows, prompt engineering, embeddings, vector databases, and hybrid search techniques Hands-on experience with leading LLM providers (Anthropic Claude, OpenAI), including model selection, evaluation, and optimization Expert-level Python development skills and fluency with AI coding assistants (Cursor, GitHub Copilot, Claude) Production experience with AWS cloud services and container orchestration (Kubernetes), including infrastructure design for ML workloads Strong technical communication skills with ability to influence senior stakeholders and drive consensus across teams Strong data engineering capabilities, including dataset creation, ETL development, and metrics definition (moved from Nice to Have) Solid understanding of ML fundamentals, experimentation methodologies, and model performance optimization (moved from Nice to Have) Nice to Have Experience with model fine-tuning, RLHF, or custom training approaches Familiarity with MLOps platforms and experiment tracking tools Experience with infrastructure as code (Terraform, CloudFormation) Background in NLP research or open-source AI/ML contributions
Harnham - Data & Analytics Recruitment
Manchester, Lancashire
Data Engineer up to £90,000 + Benefits Manchester (Hybrid) This is a great opportunity to join a high-growth adtech scale-up where you can take ownership of large-scale data infrastructure that directly powers machine learning, product intelligence, and customer ROI. THE COMPANY This is a UK-based adtech SaaS platform that using machine learning and real-time behavioural analytics to help brands optimise performance. THE ROLE Key responsibilities include: Designing, building, and maintaining batch and streaming data ingestion pipelines for high-volume event data Improving and optimising the AWS Redshift data warehouse, including modelling, performance, and cost efficiency Refactoring poorly structured data into clean, well-governed, ML-friendly datasets Building pipelines to support ML workflows, feature stores, A/B testing, and experimentation Ingesting and integrating new and under-utilised data sources Working on greenfield projects while scaling existing data infrastructure to billions of data points YOUR SKILLS AND EXPERIENCE You will bring strong capability in: Python and SQL AWS data infrastructure (S3, Redshift, Glue, Athena, Kinesis, Lambda) End-to-end ownership, from proof-of-concept through to production THE BENEFITS You will receive a salary of up to £90,000 depending on experience, along with a comprehensive benefits. HOW TO APPLY Please register your interest by sending your CV to Molly Bird via the apply link on this page.
12/05/2026
Full time
Data Engineer up to £90,000 + Benefits Manchester (Hybrid) This is a great opportunity to join a high-growth adtech scale-up where you can take ownership of large-scale data infrastructure that directly powers machine learning, product intelligence, and customer ROI. THE COMPANY This is a UK-based adtech SaaS platform that using machine learning and real-time behavioural analytics to help brands optimise performance. THE ROLE Key responsibilities include: Designing, building, and maintaining batch and streaming data ingestion pipelines for high-volume event data Improving and optimising the AWS Redshift data warehouse, including modelling, performance, and cost efficiency Refactoring poorly structured data into clean, well-governed, ML-friendly datasets Building pipelines to support ML workflows, feature stores, A/B testing, and experimentation Ingesting and integrating new and under-utilised data sources Working on greenfield projects while scaling existing data infrastructure to billions of data points YOUR SKILLS AND EXPERIENCE You will bring strong capability in: Python and SQL AWS data infrastructure (S3, Redshift, Glue, Athena, Kinesis, Lambda) End-to-end ownership, from proof-of-concept through to production THE BENEFITS You will receive a salary of up to £90,000 depending on experience, along with a comprehensive benefits. HOW TO APPLY Please register your interest by sending your CV to Molly Bird via the apply link on this page.
Introduction Saab UK is part of Scandinavia's largest defence company, bringing together the best of Swedish and British innovation. Saab offers world-leading solutions and services in defence, aviation, space, and civil security to keep people and society safe. Our UK presence has been growing at pace, meaning we can offer a wide range of opportunities for personal fulfilment and career growth. We currently employ over 600 people across eight sites in the UK, and our specialisations include software engineering, underwater robotics, radars, AI, and armed forces training. The Role: To design and implement application and software solutions for underwater robotics applications in line with Saab Seaeye's business needs through innovation, creativity and professionalism. You will be tasked with designing and developing software for the next generation of underwater vehicles as well as supporting and developing on existing codebase and products. Qualifications and Skills: A Degree in a relevant Engineering Discipline or Software Engineering Qualification with industry experience Extensive experience with C++ is a must. Familiarity in development of control software Solid understanding of software design and architecture Backend server design/structure Familiar with Standard Web Technologies Exposure to front end - Able to construct functional web pages Software skills in Javascript, Python, XML, JSON, HTML or CSS on both Windows and Linux. By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.
12/05/2026
Full time
Introduction Saab UK is part of Scandinavia's largest defence company, bringing together the best of Swedish and British innovation. Saab offers world-leading solutions and services in defence, aviation, space, and civil security to keep people and society safe. Our UK presence has been growing at pace, meaning we can offer a wide range of opportunities for personal fulfilment and career growth. We currently employ over 600 people across eight sites in the UK, and our specialisations include software engineering, underwater robotics, radars, AI, and armed forces training. The Role: To design and implement application and software solutions for underwater robotics applications in line with Saab Seaeye's business needs through innovation, creativity and professionalism. You will be tasked with designing and developing software for the next generation of underwater vehicles as well as supporting and developing on existing codebase and products. Qualifications and Skills: A Degree in a relevant Engineering Discipline or Software Engineering Qualification with industry experience Extensive experience with C++ is a must. Familiarity in development of control software Solid understanding of software design and architecture Backend server design/structure Familiar with Standard Web Technologies Exposure to front end - Able to construct functional web pages Software skills in Javascript, Python, XML, JSON, HTML or CSS on both Windows and Linux. By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.
Gillespie Recruitment Ltd
Newcastle Upon Tyne, Tyne And Wear
Are you a senior-level Full Stack Developer who thrives on solving complex problems and turning innovative ideas into powerful, real-world applications? Do you enjoy working with Python at scale, shaping user-focused web platforms, and having genuine influence over technical direction and product development? Looking for a permanent opportunity where your expertise is valued, your voice is heard, and you can help build cutting-edge tools within a growing, purpose-driven organisation? Gillespie Recruitment are delighted to be working on behalf of an innovative and rapidly scaling technology business to recruit an experienced Senior Python Full Stack Developer based in Newcastle upon Tyne. This is an exciting opportunity to join a forward-thinking organisation developing world-leading tools, where collaboration, flexibility, and technical excellence sit at the heart of everything they do. The Role As Senior Python Full Stack Developer, you'll be a key member of the Full Stack Development team, working closely with the Lead Full Stack Developer to bring sophisticated engineering tools to life through intuitive, high-performance web applications. You'll be involved across the full software lifecycle - from system architecture and cloud design through to development, deployment, and optimisation. Alongside hands-on development, you'll play an important role in mentoring junior colleagues, shaping future R&D initiatives, and contributing to the organisation's growing presence within the industry. This role is ideal for someone with a proactive, "can-do" mindset who enjoys balancing technical depth with creativity, teamwork, and real ownership. Key Responsibilities Taking initiative on robust software product development, including developing, deploying, and maintaining cloud-based web applications Designing full system structures, including workflows, databases, and cloud architectures Creating an exceptional user experience for advanced engineering tools Developing background daemons and orchestration software to run optimisation algorithms in parallel Identifying and scoping new features and future R&D opportunities Producing technical specifications for external subcontractors and managing those relationships Supporting the development of R&D funding applications and consultancy proposals Coaching and mentoring junior developers Representing the business at conferences, webinars, and industry events About You Essential Skills & Experience Proven experience owning and delivering full stack web applications end-to-end Strong understanding of user-centric design and client experience Solid knowledge of parallel, virtual, cloud computing and Dockerisation Experience developing background services using multiprocessing and multithreading Excellent technical capability across: Python , Flask, MVT architecture SQLAlchemy and ORM principles PostgreSQL and database design Front-end development using HTML, CSS, JavaScript (jQuery, AJAX, DataTables) Jinja2 and Node Package Manager Docker and Docker Python API AWS (ECS, RDS, EFS, EC2, VPC, Firewalls, Boto3 API) Azure DevOps, CI/CD pipelines, repositories Git and source control tools Mapping solutions such as OpenLayers Strong written and verbal communication skills, able to clearly explain technical concepts to non-technical stakeholders Experience delivering complex, uncertain R&D projects Confident conducting high-quality code reviews Desirable Experience with additional languages (e.g. .NET Core) Kubernetes GIS and mapping technologies Background in net-zero or renewable energy engineering environments Model-based engineering knowledge Experience writing successful R&D or consultancy proposals Experience working on international consultancy projects Additional language skills Attributes & Behaviours Professional and confident working with a wide range of stakeholders Collaborative, inquisitive, and solutions-focused Comfortable working independently while contributing fully to a team Discreet, diplomatic, and trustworthy Adaptable, with an understanding that roles evolve in a growing organisation Aligned with strong values around integrity, fairness, trust, and excellence Qualifications Essential Degree in a relevant subject (e.g. Software Development, Computer Science, Mathematics, Engineering) from a reputable institution Right to work in the UK Desirable Relevant CPD or formal certifications (AWS, Python, Front-End Development, Cyber Security, etc.) CPD or qualifications linked to the net-zero or energy transition sector What's on Offer Permanent position Salary between £42,000 - £62,000, depending on experience Newcastle upon Tyne-based role Opportunity to work on truly innovative, world-leading technology Supportive, collaborative team environment Real scope to influence products, processes, and future direction
12/05/2026
Full time
Are you a senior-level Full Stack Developer who thrives on solving complex problems and turning innovative ideas into powerful, real-world applications? Do you enjoy working with Python at scale, shaping user-focused web platforms, and having genuine influence over technical direction and product development? Looking for a permanent opportunity where your expertise is valued, your voice is heard, and you can help build cutting-edge tools within a growing, purpose-driven organisation? Gillespie Recruitment are delighted to be working on behalf of an innovative and rapidly scaling technology business to recruit an experienced Senior Python Full Stack Developer based in Newcastle upon Tyne. This is an exciting opportunity to join a forward-thinking organisation developing world-leading tools, where collaboration, flexibility, and technical excellence sit at the heart of everything they do. The Role As Senior Python Full Stack Developer, you'll be a key member of the Full Stack Development team, working closely with the Lead Full Stack Developer to bring sophisticated engineering tools to life through intuitive, high-performance web applications. You'll be involved across the full software lifecycle - from system architecture and cloud design through to development, deployment, and optimisation. Alongside hands-on development, you'll play an important role in mentoring junior colleagues, shaping future R&D initiatives, and contributing to the organisation's growing presence within the industry. This role is ideal for someone with a proactive, "can-do" mindset who enjoys balancing technical depth with creativity, teamwork, and real ownership. Key Responsibilities Taking initiative on robust software product development, including developing, deploying, and maintaining cloud-based web applications Designing full system structures, including workflows, databases, and cloud architectures Creating an exceptional user experience for advanced engineering tools Developing background daemons and orchestration software to run optimisation algorithms in parallel Identifying and scoping new features and future R&D opportunities Producing technical specifications for external subcontractors and managing those relationships Supporting the development of R&D funding applications and consultancy proposals Coaching and mentoring junior developers Representing the business at conferences, webinars, and industry events About You Essential Skills & Experience Proven experience owning and delivering full stack web applications end-to-end Strong understanding of user-centric design and client experience Solid knowledge of parallel, virtual, cloud computing and Dockerisation Experience developing background services using multiprocessing and multithreading Excellent technical capability across: Python , Flask, MVT architecture SQLAlchemy and ORM principles PostgreSQL and database design Front-end development using HTML, CSS, JavaScript (jQuery, AJAX, DataTables) Jinja2 and Node Package Manager Docker and Docker Python API AWS (ECS, RDS, EFS, EC2, VPC, Firewalls, Boto3 API) Azure DevOps, CI/CD pipelines, repositories Git and source control tools Mapping solutions such as OpenLayers Strong written and verbal communication skills, able to clearly explain technical concepts to non-technical stakeholders Experience delivering complex, uncertain R&D projects Confident conducting high-quality code reviews Desirable Experience with additional languages (e.g. .NET Core) Kubernetes GIS and mapping technologies Background in net-zero or renewable energy engineering environments Model-based engineering knowledge Experience writing successful R&D or consultancy proposals Experience working on international consultancy projects Additional language skills Attributes & Behaviours Professional and confident working with a wide range of stakeholders Collaborative, inquisitive, and solutions-focused Comfortable working independently while contributing fully to a team Discreet, diplomatic, and trustworthy Adaptable, with an understanding that roles evolve in a growing organisation Aligned with strong values around integrity, fairness, trust, and excellence Qualifications Essential Degree in a relevant subject (e.g. Software Development, Computer Science, Mathematics, Engineering) from a reputable institution Right to work in the UK Desirable Relevant CPD or formal certifications (AWS, Python, Front-End Development, Cyber Security, etc.) CPD or qualifications linked to the net-zero or energy transition sector What's on Offer Permanent position Salary between £42,000 - £62,000, depending on experience Newcastle upon Tyne-based role Opportunity to work on truly innovative, world-leading technology Supportive, collaborative team environment Real scope to influence products, processes, and future direction
Harnham - Data & Analytics Recruitment
Manchester, Lancashire
Senior Data Engineer £70,000-£90,000 Manchester (Hybrid) This is an exciting opportunity to join a growing tech scale-up where data is at the heart of their product. You will play a key role in shaping their data infrastructure, enabling large-scale machine learning and real-time analytics that directly impact their customers. THE COMPANY They are a high-growth SaaS organisation operating in the digital advertising space. Their platform helps customers optimise performance through advanced analytics, real-time behavioural insights and machine learning. With a collaborative engineering culture and strong investment backing, they are building scalable data systems to support rapid product expansion. THE ROLE As a Data Engineer you will take ownership of the company's core data pipelines, transforming large-scale event data into reliable, ML-ready datasets that power real-time decisioning and analytics across the business. Specifically, you can expect to be involved in the following: Design and manage data ingestion pipelines that feed into their cloud data warehouse. Build and maintain pipelines that prepare data for machine learning and analytics use cases. Restructure/improve existing datasets to ensure they are reliable, performant and ML-ready. Work closely with Data Science and Platform Engineering to productionise models and improve data foundations. Proven ability to work with high-volume event data at scale. SKILLS AND EXPERIENCE The successful Data Engineer will have the following skills and experience: Strong commercial experience in Python, SQL and cloud-based data engineering. Hands-on experience with AWS services such as Redshift, Athena, S3, Glue and ideally Kinesis. Understanding of streaming data, system performance and cost-efficient architecture. A proactive mindset with the confidence to identify and solve problems independently. BENEFITS The successful Data Engineer will receive the following benefits: Salary between £70,000 - £90,000 - depending on experience. Competitive benefits. HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
12/05/2026
Full time
Senior Data Engineer £70,000-£90,000 Manchester (Hybrid) This is an exciting opportunity to join a growing tech scale-up where data is at the heart of their product. You will play a key role in shaping their data infrastructure, enabling large-scale machine learning and real-time analytics that directly impact their customers. THE COMPANY They are a high-growth SaaS organisation operating in the digital advertising space. Their platform helps customers optimise performance through advanced analytics, real-time behavioural insights and machine learning. With a collaborative engineering culture and strong investment backing, they are building scalable data systems to support rapid product expansion. THE ROLE As a Data Engineer you will take ownership of the company's core data pipelines, transforming large-scale event data into reliable, ML-ready datasets that power real-time decisioning and analytics across the business. Specifically, you can expect to be involved in the following: Design and manage data ingestion pipelines that feed into their cloud data warehouse. Build and maintain pipelines that prepare data for machine learning and analytics use cases. Restructure/improve existing datasets to ensure they are reliable, performant and ML-ready. Work closely with Data Science and Platform Engineering to productionise models and improve data foundations. Proven ability to work with high-volume event data at scale. SKILLS AND EXPERIENCE The successful Data Engineer will have the following skills and experience: Strong commercial experience in Python, SQL and cloud-based data engineering. Hands-on experience with AWS services such as Redshift, Athena, S3, Glue and ideally Kinesis. Understanding of streaming data, system performance and cost-efficient architecture. A proactive mindset with the confidence to identify and solve problems independently. BENEFITS The successful Data Engineer will receive the following benefits: Salary between £70,000 - £90,000 - depending on experience. Competitive benefits. HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Senior GCP VDC Network Engineer Salary: up to £90,000 + Bonus + Benefits Location: Manchester - 2/3 days onsite Working Hours: 40 hours per week A globally established organisation is seeking a Senior GCP VDC Network Engineer to join a Public Cloud Platform function, driving scalable, secure and compliant Google Cloud networking solutions across enterprise environments. This is a senior, hands-on engineering role focused on designing and modernising cloud network services while enabling rapid, seamless cloud adoption. The for the Senior GCP VDC Network Engineer position is suited to an experienced GCP networking specialist who combines deep technical capability with strong collaboration skills, enjoys working in cross-functional feature teams and can lead technical growth within engineering environments. Responsibilities for the Senior GCP VDC Network Engineer: Design, implement and manage GCP Virtual Data Centre network architecture for enterprise workloads Configure and maintain VPCs, subnets, firewalls, routing and peering for secure and scalable connectivity Implement hybrid connectivity solutions including Cloud VPN and Interconnect for on-premise and multi-cloud integration Develop and manage Infrastructure as Code for network resources using Terraform and Terraform Cloud Automate network provisioning and configuration workflows using Python Enforce GCP organisation policies covering network security, encryption and access control Integrate network deployments into CI/CD pipelines to enable automated provisioning and updates Implement policy-as-code guardrails for network governance Optimise network performance, reliability and resilience through monitoring and proactive tuning Collaborate with security teams to implement best practice network controls Support migration of legacy network configurations into unified, reusable templates Troubleshoot and resolve complex networking issues across GCP VDC environments Provide technical leadership and mentoring to engineers within the team Essential Skills for the Senior GCP VDC Network Engineer: Strong hands-on experience with GCP networking including VPCs, subnets, firewalls, routing and peering Proven experience delivering hybrid connectivity using Cloud VPN and Interconnect Strong Infrastructure as Code expertise using Terraform and Terraform Cloud Python scripting for automation and tooling Experience integrating network automation into CI/CD pipelines Knowledge of GCP organisation policies and policy-as-code frameworks GCP certification, ideally Professional Cloud Network Engineer Desirable Skills for the Senior GCP VDC Network Engineer: Experience with enterprise cloud engineering platforms Strong stakeholder engagement and communication capability Experience operating as a senior SME within cloud engineering teams If you are an experienced GCP Network Engineer with strong cloud architecture and automation expertise, looking to lead scalable enterprise cloud networking initiatives, please apply in the immediate instance.
12/05/2026
Full time
Senior GCP VDC Network Engineer Salary: up to £90,000 + Bonus + Benefits Location: Manchester - 2/3 days onsite Working Hours: 40 hours per week A globally established organisation is seeking a Senior GCP VDC Network Engineer to join a Public Cloud Platform function, driving scalable, secure and compliant Google Cloud networking solutions across enterprise environments. This is a senior, hands-on engineering role focused on designing and modernising cloud network services while enabling rapid, seamless cloud adoption. The for the Senior GCP VDC Network Engineer position is suited to an experienced GCP networking specialist who combines deep technical capability with strong collaboration skills, enjoys working in cross-functional feature teams and can lead technical growth within engineering environments. Responsibilities for the Senior GCP VDC Network Engineer: Design, implement and manage GCP Virtual Data Centre network architecture for enterprise workloads Configure and maintain VPCs, subnets, firewalls, routing and peering for secure and scalable connectivity Implement hybrid connectivity solutions including Cloud VPN and Interconnect for on-premise and multi-cloud integration Develop and manage Infrastructure as Code for network resources using Terraform and Terraform Cloud Automate network provisioning and configuration workflows using Python Enforce GCP organisation policies covering network security, encryption and access control Integrate network deployments into CI/CD pipelines to enable automated provisioning and updates Implement policy-as-code guardrails for network governance Optimise network performance, reliability and resilience through monitoring and proactive tuning Collaborate with security teams to implement best practice network controls Support migration of legacy network configurations into unified, reusable templates Troubleshoot and resolve complex networking issues across GCP VDC environments Provide technical leadership and mentoring to engineers within the team Essential Skills for the Senior GCP VDC Network Engineer: Strong hands-on experience with GCP networking including VPCs, subnets, firewalls, routing and peering Proven experience delivering hybrid connectivity using Cloud VPN and Interconnect Strong Infrastructure as Code expertise using Terraform and Terraform Cloud Python scripting for automation and tooling Experience integrating network automation into CI/CD pipelines Knowledge of GCP organisation policies and policy-as-code frameworks GCP certification, ideally Professional Cloud Network Engineer Desirable Skills for the Senior GCP VDC Network Engineer: Experience with enterprise cloud engineering platforms Strong stakeholder engagement and communication capability Experience operating as a senior SME within cloud engineering teams If you are an experienced GCP Network Engineer with strong cloud architecture and automation expertise, looking to lead scalable enterprise cloud networking initiatives, please apply in the immediate instance.
Lead Data Engineer - Python AI Vector PostgresSQL Leading Technology AI Brand SaaS - Platform based Technology Services London/City £70-130k salary + equity package Our client a global technology leader is currently looking for a Senior/Lead Data Engineer to work with the dev team to guide the provision of Software Development for an exciting new AI product. Key Responsibilities:- Architect and build scalable data pipelines and infrastructure Design and maintain data ingestion, transformation, and storage architectures for operational and AI workloads. Develop and manage batch and Real Time data pipelines. Build and optimize systems for vector search, retrieval, and ML data pipelines. Ensure data reliability, security, and governance across the platform. Collaborate with AI and Back End engineering teams to support training, inference, and product features. Implement monitoring, observability, and data quality frameworks. Core Experience:- 7+ years of experience in data engineering or Back End engineering roles. Strong experience designing and building data pipelines and distributed data systems. Experience working with relational databases (PostgreSQL preferred, but MySQL or similar is acceptable). Experience with NoSQL databases. Experience with vector databases used in modern AI systems. Strong programming experience in Python. Frameworks/Infrastructure:- Apache Spark Apache Airflow Kafka Elasticsearch/OpenSearch
12/05/2026
Full time
Lead Data Engineer - Python AI Vector PostgresSQL Leading Technology AI Brand SaaS - Platform based Technology Services London/City £70-130k salary + equity package Our client a global technology leader is currently looking for a Senior/Lead Data Engineer to work with the dev team to guide the provision of Software Development for an exciting new AI product. Key Responsibilities:- Architect and build scalable data pipelines and infrastructure Design and maintain data ingestion, transformation, and storage architectures for operational and AI workloads. Develop and manage batch and Real Time data pipelines. Build and optimize systems for vector search, retrieval, and ML data pipelines. Ensure data reliability, security, and governance across the platform. Collaborate with AI and Back End engineering teams to support training, inference, and product features. Implement monitoring, observability, and data quality frameworks. Core Experience:- 7+ years of experience in data engineering or Back End engineering roles. Strong experience designing and building data pipelines and distributed data systems. Experience working with relational databases (PostgreSQL preferred, but MySQL or similar is acceptable). Experience with NoSQL databases. Experience with vector databases used in modern AI systems. Strong programming experience in Python. Frameworks/Infrastructure:- Apache Spark Apache Airflow Kafka Elasticsearch/OpenSearch
We're looking for a highly skilled Principal Penetration Tester with CHECK Team Lead (CTL) status to join our dynamic security team. This is a senior, hands on role where you'll lead and deliver complex penetration testing engagements across infrastructure, cloud, web, and mobile applications for a diverse range of clients, including software, fintech, manufacturing, engineering, legal, and public sector organisations. You'll play a pivotal role in shaping our offensive security services-coordinating end to end testing, mentoring junior testers, and contributing to the evolution of our methodologies. If you thrive on tackling challenging security problems, enjoy working in a collaborative environment, and want to keep pushing your technical boundaries, we'd love to hear from you. What You'll Do Lead and execute penetration tests across infrastructure, cloud, web, and mobile applications. Manage end to end engagements: from scoping and kick off sessions to delivery and client debriefs. Produce detailed, actionable reports outlining vulnerabilities and tailored remediation steps. Stay ahead of emerging threats by researching new offensive techniques and integrating them into our methodology. Automate repetitive tasks and streamline testing processes through scripting. Mentor and coach junior testers, supporting their technical growth and career development. Enhance tools and methodologies, ensuring our services remain cutting edge. Support pre sales efforts as a subject matter expert in penetration testing. Communicate findings effectively to both technical and non technical stakeholders. Contribute to thought leadership through blogs, white papers, or speaking engagements. Essential Skills CHECK Team Lead (CTL) status - Infrastructure preferred; Applications also considered. Current UK SC Clearance. Minimum 5 years' penetration testing experience, with a proven track record of complex engagements. Proven experience in cloud security reviews (AWS, Azure, GCP). Deep expertise in web, mobile, and network penetration testing methodologies. Advanced knowledge of operating systems (Linux, Windows, Active Directory). Familiarity with cloud environments and ability to perform cloud security reviews. Proficiency with tools such as BurpSuite Pro, Nmap, Nessus, Metasploit, and Kali Linux. Strong scripting skills (Python, Shell, etc.). Excellent communication and technical report writing skills. Nice to Have Additional certifications: OSCP, CSTL/CCT, Cyber Scheme, CREST. UK Cyber Security Council Chartership (Principal or above). Experience with Hack The Box or Capture the Flag simulations. Exposure to advanced testing techniques and red team engagements. Why Join Instil? At Instil, we believe great work starts with happy, motivated people. That's why we've built a benefits package that supports your wellbeing, growth, and life outside of work, because when you thrive, so do we. Recognition That Matters: A discretionary annual performance bonus that rewards your impact and contribution to our success. Flexibility Built In: Flexible working arrangements and summer hours, because life isn't 9 to 5, and balance matters. Financial Security: A highly competitive pension scheme with generous employer contributions, private healthcare, and life assurance for peace of mind. Health & Wellbeing: Employee Assistance Programme, mental health support, cycle to work scheme, and regular social events to keep our culture vibrant. Time to Recharge: 35 days holiday, enhanced maternity pay, and family first policies so you can focus on what matters most. Learning Never Stops: From courses to certifications, we'll invest in your development so you can keep growing and shaping what's next. Community & Culture: Opportunities to volunteer, give back, and be part of initiatives that make Instil a truly inclusive and connected workplace. And that's just the start, drop us a note to find out more. Company Description Instil has been delivering world class software engineering and technology solutions for over 20 years, trusted by global brands to solve complex challenges and drive innovation. From modernising legacy systems to building cutting edge applications, we help our clients navigate an ever changing digital landscape with confidence and agility. We're proud to be an award winning employer, reflecting how our people are at the heart of everything we do: Recognised as a Great Place to Work for three consecutive years, and in 2024 ranked in the Top 20 Best Workplaces in the UK for medium size companies. Winner of Company of the Year at the Digital DNA Awards 2022, celebrating excellence in Northern Ireland's tech sector. Driven by a love for technology and a commitment to excellence, we bring together people who want to make a difference. We'll support your journey, because your success is part of ours.
12/05/2026
Full time
We're looking for a highly skilled Principal Penetration Tester with CHECK Team Lead (CTL) status to join our dynamic security team. This is a senior, hands on role where you'll lead and deliver complex penetration testing engagements across infrastructure, cloud, web, and mobile applications for a diverse range of clients, including software, fintech, manufacturing, engineering, legal, and public sector organisations. You'll play a pivotal role in shaping our offensive security services-coordinating end to end testing, mentoring junior testers, and contributing to the evolution of our methodologies. If you thrive on tackling challenging security problems, enjoy working in a collaborative environment, and want to keep pushing your technical boundaries, we'd love to hear from you. What You'll Do Lead and execute penetration tests across infrastructure, cloud, web, and mobile applications. Manage end to end engagements: from scoping and kick off sessions to delivery and client debriefs. Produce detailed, actionable reports outlining vulnerabilities and tailored remediation steps. Stay ahead of emerging threats by researching new offensive techniques and integrating them into our methodology. Automate repetitive tasks and streamline testing processes through scripting. Mentor and coach junior testers, supporting their technical growth and career development. Enhance tools and methodologies, ensuring our services remain cutting edge. Support pre sales efforts as a subject matter expert in penetration testing. Communicate findings effectively to both technical and non technical stakeholders. Contribute to thought leadership through blogs, white papers, or speaking engagements. Essential Skills CHECK Team Lead (CTL) status - Infrastructure preferred; Applications also considered. Current UK SC Clearance. Minimum 5 years' penetration testing experience, with a proven track record of complex engagements. Proven experience in cloud security reviews (AWS, Azure, GCP). Deep expertise in web, mobile, and network penetration testing methodologies. Advanced knowledge of operating systems (Linux, Windows, Active Directory). Familiarity with cloud environments and ability to perform cloud security reviews. Proficiency with tools such as BurpSuite Pro, Nmap, Nessus, Metasploit, and Kali Linux. Strong scripting skills (Python, Shell, etc.). Excellent communication and technical report writing skills. Nice to Have Additional certifications: OSCP, CSTL/CCT, Cyber Scheme, CREST. UK Cyber Security Council Chartership (Principal or above). Experience with Hack The Box or Capture the Flag simulations. Exposure to advanced testing techniques and red team engagements. Why Join Instil? At Instil, we believe great work starts with happy, motivated people. That's why we've built a benefits package that supports your wellbeing, growth, and life outside of work, because when you thrive, so do we. Recognition That Matters: A discretionary annual performance bonus that rewards your impact and contribution to our success. Flexibility Built In: Flexible working arrangements and summer hours, because life isn't 9 to 5, and balance matters. Financial Security: A highly competitive pension scheme with generous employer contributions, private healthcare, and life assurance for peace of mind. Health & Wellbeing: Employee Assistance Programme, mental health support, cycle to work scheme, and regular social events to keep our culture vibrant. Time to Recharge: 35 days holiday, enhanced maternity pay, and family first policies so you can focus on what matters most. Learning Never Stops: From courses to certifications, we'll invest in your development so you can keep growing and shaping what's next. Community & Culture: Opportunities to volunteer, give back, and be part of initiatives that make Instil a truly inclusive and connected workplace. And that's just the start, drop us a note to find out more. Company Description Instil has been delivering world class software engineering and technology solutions for over 20 years, trusted by global brands to solve complex challenges and drive innovation. From modernising legacy systems to building cutting edge applications, we help our clients navigate an ever changing digital landscape with confidence and agility. We're proud to be an award winning employer, reflecting how our people are at the heart of everything we do: Recognised as a Great Place to Work for three consecutive years, and in 2024 ranked in the Top 20 Best Workplaces in the UK for medium size companies. Winner of Company of the Year at the Digital DNA Awards 2022, celebrating excellence in Northern Ireland's tech sector. Driven by a love for technology and a commitment to excellence, we bring together people who want to make a difference. We'll support your journey, because your success is part of ours.
Senior Solutions Architect (Utilities/Energy) London, United Kingdom REQ ID: FEQ227R246 Location: London, UK Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer centric mindset guides us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world class, cross functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges. Join us in our quest to change how people work with data and make a better world! The impact you will have Engage with some of Databricks' most complex customers to help them achieve their unified platform goals. Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts. Coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline. Influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited about the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for Know how to engage in complex customer interactions and sales lifecycle in a technical pre sales capacity. Have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background. Work with our Utilities customers, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice. Have a builder mindset, instinctively prototype, create demos, and craft tailored solutions rather than relying only on slide decks. Enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments. Ability to influence decision makers and C level executives through developing relationships and orchestrating teams to achieve long term success for customers. Prior experience with coding in a core programming language (Python or SQL) and willingness to learn a base level of Spark. Hands on expertise with complex proofs of concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape. Nice to have: Databricks Certification. Up to % travel to London offices and customer sites. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit . Our Commitment to Diversity and Inclusion 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. Compliance 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.
12/05/2026
Full time
Senior Solutions Architect (Utilities/Energy) London, United Kingdom REQ ID: FEQ227R246 Location: London, UK Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer centric mindset guides us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world class, cross functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges. Join us in our quest to change how people work with data and make a better world! The impact you will have Engage with some of Databricks' most complex customers to help them achieve their unified platform goals. Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts. Coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline. Influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited about the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for Know how to engage in complex customer interactions and sales lifecycle in a technical pre sales capacity. Have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background. Work with our Utilities customers, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice. Have a builder mindset, instinctively prototype, create demos, and craft tailored solutions rather than relying only on slide decks. Enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments. Ability to influence decision makers and C level executives through developing relationships and orchestrating teams to achieve long term success for customers. Prior experience with coding in a core programming language (Python or SQL) and willingness to learn a base level of Spark. Hands on expertise with complex proofs of concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape. Nice to have: Databricks Certification. Up to % travel to London offices and customer sites. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit . Our Commitment to Diversity and Inclusion 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. Compliance 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.
Introduction Role Overview Location: Derby (Hybrid - 2 days per week) Package: £42,000 - £55,150p/a + £2200 benefits allowance Industry: Clean Energy / Advanced Engineering / AI What You'll Be Doing Design and deliver full-stack, cloud-native AI applications across front end, APIs, and data layers Build and deploy RAG-based and agent-driven AI systems using secure, governed data sources Develop scalable services on Azure, integrating with enterprise platforms and data pipelines Implement MLOps and AIOps capabilities including model lifecycle management, monitoring, and automation Embed security, compliance, and safety principles into every stage of development Collaborate within cross-functional product squads to deliver features end-to-end Contribute to platform best practices, documentation, and continuous improvement initiatives Support delivery in a highly regulated environment, ensuring auditability and high engineering standards Main Skills Needed Strong full stack engineering experience (React/TypeScript, Python, FastAPI, or Node.js) Proven experience building AI/ML systems, particularly RAG or agent-based architectures Solid Azure expertise (Azure ML, Azure OpenAI, Functions, AKS, CI/CD pipelines) Data engineering knowledge including pipelines, schema design, and observability Experience with software testing, performance optimisation, and production monitoring Understanding of secure development practices, identity access, and compliance frameworks Background working in regulated or safety-critical environments What's in It for You Work on meaningful projects contributing to the future of sustainable energy Exposure to complex, high-impact AI challenges in a real-world setting Collaborative, cross-functional teams with strong technical leadership Opportunity to shape modern AI platforms and influence engineering standards Hybrid working with flexibility built in Long-term career growth within a forward-thinking, innovation-led environment We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
12/05/2026
Full time
Introduction Role Overview Location: Derby (Hybrid - 2 days per week) Package: £42,000 - £55,150p/a + £2200 benefits allowance Industry: Clean Energy / Advanced Engineering / AI What You'll Be Doing Design and deliver full-stack, cloud-native AI applications across front end, APIs, and data layers Build and deploy RAG-based and agent-driven AI systems using secure, governed data sources Develop scalable services on Azure, integrating with enterprise platforms and data pipelines Implement MLOps and AIOps capabilities including model lifecycle management, monitoring, and automation Embed security, compliance, and safety principles into every stage of development Collaborate within cross-functional product squads to deliver features end-to-end Contribute to platform best practices, documentation, and continuous improvement initiatives Support delivery in a highly regulated environment, ensuring auditability and high engineering standards Main Skills Needed Strong full stack engineering experience (React/TypeScript, Python, FastAPI, or Node.js) Proven experience building AI/ML systems, particularly RAG or agent-based architectures Solid Azure expertise (Azure ML, Azure OpenAI, Functions, AKS, CI/CD pipelines) Data engineering knowledge including pipelines, schema design, and observability Experience with software testing, performance optimisation, and production monitoring Understanding of secure development practices, identity access, and compliance frameworks Background working in regulated or safety-critical environments What's in It for You Work on meaningful projects contributing to the future of sustainable energy Exposure to complex, high-impact AI challenges in a real-world setting Collaborative, cross-functional teams with strong technical leadership Opportunity to shape modern AI platforms and influence engineering standards Hybrid working with flexibility built in Long-term career growth within a forward-thinking, innovation-led environment We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
About the Role: CrowdStrike Services is seeking a Platform Professional Services Senior Consultant specialized in AI for Detection and Response who would be responsible for the planning, deployment, implementation, and operational support of the CrowdStrike platform's AI capabilities. This role will focus specifically on leveraging Falcon's Artificial Intelligence (AI) and Machine Learning (ML) technologies to enhance threat detection, automate response workflows, and maximize security outcomes for customers. The Platform Professional Services Senior Consultant will have responsibility for all aspects of the deployment from the initial customer engagement, planning, installation, optimization/utility and follow-on customer support for the CrowdStrike platform's AI-powered detection and response capabilities. What You'll Do: Deployment and Operations activities may include: Providing technical implementation, configuration, and troubleshooting assistance with the deployment of Falcon's AI-powered detection and response capabilities Assist customers in optimizing AI-driven threat detection models and automated response workflows Configure and tune machine learning algorithms to reduce false positives while maintaining high detection efficacy Develop and implement AI-driven automation playbooks for security operations Troubleshoot AI-related customer issues across small to large enterprises Develop scripting and application solutions using Falcon APIs to enhance AI capabilities Work closely with customers to interpret AI-generated alerts and findings Leverage CrowdStrike's AI capabilities to enhance vulnerability prioritization and asset management Assist customers with integrating Falcon's AI capabilities into their existing security tools and workflows Support Incident Response teams with AI-powered threat hunting and forensic analysis Develop and lead AI skills workshops for the Platform Professional Services team Work collaboratively with the Platform Professional Services team to develop customer-facing AI collateral Ability to travel up to 25% of the time What You'll Need: Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or related discipline, and 8 years of experience performing IT deployments or in an end user/customer environment, as well as experience with the following: Strong understanding of AI and machine learning concepts, particularly in cybersecurity applications Strong understanding of software deployment technologies Very knowledgeable on Windows, Mac, and Linux platforms Experience with AI-powered security tools and platforms Knowledge of data science principles and their application to security operations Experience with security automation and orchestration platforms Very knowledgeable on Windows, Mac, and Linux platforms Strong knowledge of Microsoft Office applications Skillful communication and effective ability to build collaborative relationships Strong experience presenting technical AI content to various audiences Strong experience in computer and network systems security Solid analytical/problem solving skills with capability to identify solutions to unusual and complex problems Proactive and thorough ability to manage work and prioritize customer projects Experience mentoring team members Some experience leading a team to complete projects High level of motivation; self-starter; results driven Potential for travel and assignment work exists Bonus Points: Endpoint Security: Falcon platform (preferred), AV, and EDR solutions AI/ML Technologies: Experience with machine learning models, natural language processing, anomaly detection, writing prompts Programming for AI: Python, R, or similar languages for data analysis and model development, working with agents and/or building agents Operating Systems: Windows, Linux, Mac Software Deployment: SCCM, Group Policy, McAfee EPO, IBM BigFix, Puppet, Chef, Citrix, PDQ, PsExec Development: PowerShell, Python, Bash, Batch Technologies: Experience with Host based firewall, File Integrity Management, Data Protection, Vulnerability Management, Attack Surface Management, IT Automation Compliance: CIS Benchmarks, STIGs, PCI, HIPPA Database: SIEM, MSSQL, Splunk, LogScale Identity: Identity, Active Directory, Azure-AD, SSO Cloud: AWS, Azure, and GCP Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified(TM) across the globeCrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs on valid job requirements.If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at for further assistance.
12/05/2026
Full time
About the Role: CrowdStrike Services is seeking a Platform Professional Services Senior Consultant specialized in AI for Detection and Response who would be responsible for the planning, deployment, implementation, and operational support of the CrowdStrike platform's AI capabilities. This role will focus specifically on leveraging Falcon's Artificial Intelligence (AI) and Machine Learning (ML) technologies to enhance threat detection, automate response workflows, and maximize security outcomes for customers. The Platform Professional Services Senior Consultant will have responsibility for all aspects of the deployment from the initial customer engagement, planning, installation, optimization/utility and follow-on customer support for the CrowdStrike platform's AI-powered detection and response capabilities. What You'll Do: Deployment and Operations activities may include: Providing technical implementation, configuration, and troubleshooting assistance with the deployment of Falcon's AI-powered detection and response capabilities Assist customers in optimizing AI-driven threat detection models and automated response workflows Configure and tune machine learning algorithms to reduce false positives while maintaining high detection efficacy Develop and implement AI-driven automation playbooks for security operations Troubleshoot AI-related customer issues across small to large enterprises Develop scripting and application solutions using Falcon APIs to enhance AI capabilities Work closely with customers to interpret AI-generated alerts and findings Leverage CrowdStrike's AI capabilities to enhance vulnerability prioritization and asset management Assist customers with integrating Falcon's AI capabilities into their existing security tools and workflows Support Incident Response teams with AI-powered threat hunting and forensic analysis Develop and lead AI skills workshops for the Platform Professional Services team Work collaboratively with the Platform Professional Services team to develop customer-facing AI collateral Ability to travel up to 25% of the time What You'll Need: Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or related discipline, and 8 years of experience performing IT deployments or in an end user/customer environment, as well as experience with the following: Strong understanding of AI and machine learning concepts, particularly in cybersecurity applications Strong understanding of software deployment technologies Very knowledgeable on Windows, Mac, and Linux platforms Experience with AI-powered security tools and platforms Knowledge of data science principles and their application to security operations Experience with security automation and orchestration platforms Very knowledgeable on Windows, Mac, and Linux platforms Strong knowledge of Microsoft Office applications Skillful communication and effective ability to build collaborative relationships Strong experience presenting technical AI content to various audiences Strong experience in computer and network systems security Solid analytical/problem solving skills with capability to identify solutions to unusual and complex problems Proactive and thorough ability to manage work and prioritize customer projects Experience mentoring team members Some experience leading a team to complete projects High level of motivation; self-starter; results driven Potential for travel and assignment work exists Bonus Points: Endpoint Security: Falcon platform (preferred), AV, and EDR solutions AI/ML Technologies: Experience with machine learning models, natural language processing, anomaly detection, writing prompts Programming for AI: Python, R, or similar languages for data analysis and model development, working with agents and/or building agents Operating Systems: Windows, Linux, Mac Software Deployment: SCCM, Group Policy, McAfee EPO, IBM BigFix, Puppet, Chef, Citrix, PDQ, PsExec Development: PowerShell, Python, Bash, Batch Technologies: Experience with Host based firewall, File Integrity Management, Data Protection, Vulnerability Management, Attack Surface Management, IT Automation Compliance: CIS Benchmarks, STIGs, PCI, HIPPA Database: SIEM, MSSQL, Splunk, LogScale Identity: Identity, Active Directory, Azure-AD, SSO Cloud: AWS, Azure, and GCP Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified(TM) across the globeCrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs on valid job requirements.If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at for further assistance.
An exciting technology-led organisation in London is looking for a Lead Data Engineer to join their growing platform team as they continue to build out their data and analytics capability. Based in: London Hybrid working: 1-2 days a week in the office Permanent role Start date: ASAP Salary: Up to £75k per annum The Job As the Lead Data Engineer , your responsibilities will include: Leading the design and delivery of a modern cloud data platform supporting analytics, AI and client-facing data products Owning data pipeline architecture across ingestion, transformation and data product layers Setting and maintaining data engineering standards, patterns and best practices across squads Mentoring and leading a small team of Data Engineers and working closely with Analytics Engineers and Data Scientists Remaining hands-on with complex technical delivery, architecture decisions and code reviews Defining CI/CD, testing, observability and infrastructure-as-code standards for data pipelines Ensuring strong data governance, security controls and compliance across all datasets Partnering with Product and commercial teams on data initiatives and client data onboarding Supporting analytics, BI and AI/ML use cases with well-structured, documented and reliable data models You 5+ years' experience in data engineering or data platform roles Strong hands-on experience with SQL, Python and distributed data processing Proven experience building and operating modern cloud data platforms Experience with technologies such as Snowflake, Databricks and Power BI Strong understanding of CI/CD, infrastructure-as-code and data quality practices Solid knowledge of data security, access controls and governance Comfortable operating as a hands-on technical leader , mentoring others and influencing standards Strong stakeholder communication skills Apply Now You can apply for the Lead Data Engineer position now by sending us your CV or by calling us today. Don't forget to register as a candidate too. Amy Brown Principal Managing Consultant Sphere Digital Recruitment currently has a variety of job opportunities across digital, so feel free to get in touch to find out how we can help you. Please take a look at our website. Sphere is an equal opportunities employer. We encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law. Sphere Digital Recruitment currently have a variety of job opportunities across digital so feel free to get in touch with us to find out how we can help you. Please take a look at our website. Sphere is an equal opportunities employer. We encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law. If you require any adjustments or additional support during the recruitment process for any reason whatsoever, please let us know.
12/05/2026
Full time
An exciting technology-led organisation in London is looking for a Lead Data Engineer to join their growing platform team as they continue to build out their data and analytics capability. Based in: London Hybrid working: 1-2 days a week in the office Permanent role Start date: ASAP Salary: Up to £75k per annum The Job As the Lead Data Engineer , your responsibilities will include: Leading the design and delivery of a modern cloud data platform supporting analytics, AI and client-facing data products Owning data pipeline architecture across ingestion, transformation and data product layers Setting and maintaining data engineering standards, patterns and best practices across squads Mentoring and leading a small team of Data Engineers and working closely with Analytics Engineers and Data Scientists Remaining hands-on with complex technical delivery, architecture decisions and code reviews Defining CI/CD, testing, observability and infrastructure-as-code standards for data pipelines Ensuring strong data governance, security controls and compliance across all datasets Partnering with Product and commercial teams on data initiatives and client data onboarding Supporting analytics, BI and AI/ML use cases with well-structured, documented and reliable data models You 5+ years' experience in data engineering or data platform roles Strong hands-on experience with SQL, Python and distributed data processing Proven experience building and operating modern cloud data platforms Experience with technologies such as Snowflake, Databricks and Power BI Strong understanding of CI/CD, infrastructure-as-code and data quality practices Solid knowledge of data security, access controls and governance Comfortable operating as a hands-on technical leader , mentoring others and influencing standards Strong stakeholder communication skills Apply Now You can apply for the Lead Data Engineer position now by sending us your CV or by calling us today. Don't forget to register as a candidate too. Amy Brown Principal Managing Consultant Sphere Digital Recruitment currently has a variety of job opportunities across digital, so feel free to get in touch to find out how we can help you. Please take a look at our website. Sphere is an equal opportunities employer. We encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law. Sphere Digital Recruitment currently have a variety of job opportunities across digital so feel free to get in touch with us to find out how we can help you. Please take a look at our website. Sphere is an equal opportunities employer. We encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law. If you require any adjustments or additional support during the recruitment process for any reason whatsoever, please let us know.
Natter harnesses the power of AI and video to give everyone a voice. In early April 2026, Natter announced its Series A. $23M raised to define the enterprise conversation intelligence category. Natter is already being used by some of the world's largest companies including ServiceNow, Accenture, Philip Morris, Lego, PwC, Mondelez, Cox Enterprises, SAP, Miro, Deloitte, Synopsys and many more. Natter's conversational AI platform allows tens of thousands of users to simultaneously share ideas and feedback through real-time video conversations. Its uniquely scalable tech allows anyone with a smartphone to, literally, have a say on the most important decisions - ranging from workplace strategy to new product offerings. We partner with some of the world's largest and most complex enterprises (Fortune 500 and equivalent), and are currently growing our team from 30 to 60 employees. Location Hybrid: London based, with flexible, fluid work options that support in-person collaboration where it makes sense. We're committed to building a diverse team and welcome people from all backgrounds to apply. If you're excited about this role and our mission but aren't sure you meet every qualification, reach out anyway. You may be just the right candidate. The Opportunity We're seeking a hands on Security Engineer with 4-8 years of experience in high growth, cloud native environments to help us enhance and implement security across our tech landscape including web application, cloud infrastructure and endpoints, working alongside our customers, and promote a security first culture as we scale. As our first dedicated security engineering specialist, you'll work both operationally and strategically, partnering closely with our Information Security & Risk Management Lead and collaborating cross functionally with engineering, product, and other teams. You'll own the technical aspects of security, implement and harden controls, manage threats, respond to incidents, elevate our security posture, ensure a security first culture and drive strategic improvements and projects as we scale. You'll also collaborate with our Solutions Engineering Lead on enterprise onboarding, helping customers navigate security, identity, networking, and compliance requirements during technical validation and rollout. Responsibilities As a Security Engineer at Natter, you'll: Conduct security assessments, threat hunts, code and logs reviews, and penetration testing to identify vulnerabilities in our applications, and drive continuous monitoring improvements. Design, implement, optimize, and monitor security controls and tooling from the ground up, strengthening security across endpoints, infrastructure, and application CI/CD pipelines. Collaborate with engineering teams to raise the security bar through reviews, guidance, and automation. Respond to security incidents in real time - manage containment, remediation, forensics, and root cause analysis. Also participate in tabletop exercises, incident simulations, and coordinate external penetration tests. Partner with Solutions Engineering to support enterprise customer onboarding, including SSO integrations (SAML/OIDC), network allowlisting, and security reviews. Join customer facing technical and security discussions where needed, acting as a trusted security point of contact. Risk Management: support the Information Security & Risk Management Lead with vendor security assessments to evaluate third party risk, and ensure Natter meets its present and future regulatory and certification requirements (GDPR, ISO 27001, ISO 42001 etc.). Stay current on emerging threats, vulnerabilities and technologies, and contribute to company wide security awareness initiatives. What You Can Expect Modern cloud native stack with the opportunity to influence tooling and architecture. Immediate impact by choosing and deploying new tooling to enable a fast growing business. Customer facing impact - help unlock enterprise deals and accelerate adoption by reinforcing trust, compliance, and smooth technical onboarding. Security as a sales lever, not a cost. Autonomy and collaboration - the opportunity to focus on coding/programming and implementation, but also collaborating cross functionally with other teams such as solutions engineering, product, and GTM. Growth potential - opportunity to define our security architecture to ensure resilience and security, including HA and ZTNA in a growing global business. You'll work with people who are passionate about what they do, supported by leaders who are empowering, supportive and inclusive. We'd love to hear from you if you have 4-8 years in cybersecurity or technical security or solutions engineering roles. Hands on experience deploying and managing security tooling - such as EDR, IAM, MDM, SIEM, ZTNA, or vulnerability scanners, and enjoy solving problems at the implementation level. Strong communication skills and comfortable communicating technical security concepts to non-security stakeholders. Working knowledge of networking, Windows/macOS, and security protocols. Experience with security reporting and compliance tools. Cloud security knowledge (we use AWS). Proficient in programming languages e.g. Typescript, Python, Bash, or similar. Strong skills in log analysis, threat investigation, and incident response. A proactive and solution oriented mindset, with a bias for action. Desirable It would be a bonus if you have expertise in, or a desire to gain experience in, one or more of the following (note that candidates are not expected to have comprehensive knowledge in all areas) Hands on experience with AWS and AWS security services (CloudTrail, GuardDuty, WAF, IAM, Security Hub). Experience supporting enterprise customers during technical onboarding or security validation. DAST/SAST tooling and IaC security expertise. Knowledge of Kubernetes and container security. Identity & Access Management experience (e.g. Google, Okta). Experience with JVM languages, Terraform/IaC, CDK, or React. Familiarity with GDPR, ISO 27001, SOC 2, EU AI Act/LLMs. Experience delivering audits or using GRC tools (e.g. Drata, Vanta) Interest in AI and/or knowledge of AI security risks and frameworks (e.g. ISO 42001). Security qualifications or certifications.
12/05/2026
Full time
Natter harnesses the power of AI and video to give everyone a voice. In early April 2026, Natter announced its Series A. $23M raised to define the enterprise conversation intelligence category. Natter is already being used by some of the world's largest companies including ServiceNow, Accenture, Philip Morris, Lego, PwC, Mondelez, Cox Enterprises, SAP, Miro, Deloitte, Synopsys and many more. Natter's conversational AI platform allows tens of thousands of users to simultaneously share ideas and feedback through real-time video conversations. Its uniquely scalable tech allows anyone with a smartphone to, literally, have a say on the most important decisions - ranging from workplace strategy to new product offerings. We partner with some of the world's largest and most complex enterprises (Fortune 500 and equivalent), and are currently growing our team from 30 to 60 employees. Location Hybrid: London based, with flexible, fluid work options that support in-person collaboration where it makes sense. We're committed to building a diverse team and welcome people from all backgrounds to apply. If you're excited about this role and our mission but aren't sure you meet every qualification, reach out anyway. You may be just the right candidate. The Opportunity We're seeking a hands on Security Engineer with 4-8 years of experience in high growth, cloud native environments to help us enhance and implement security across our tech landscape including web application, cloud infrastructure and endpoints, working alongside our customers, and promote a security first culture as we scale. As our first dedicated security engineering specialist, you'll work both operationally and strategically, partnering closely with our Information Security & Risk Management Lead and collaborating cross functionally with engineering, product, and other teams. You'll own the technical aspects of security, implement and harden controls, manage threats, respond to incidents, elevate our security posture, ensure a security first culture and drive strategic improvements and projects as we scale. You'll also collaborate with our Solutions Engineering Lead on enterprise onboarding, helping customers navigate security, identity, networking, and compliance requirements during technical validation and rollout. Responsibilities As a Security Engineer at Natter, you'll: Conduct security assessments, threat hunts, code and logs reviews, and penetration testing to identify vulnerabilities in our applications, and drive continuous monitoring improvements. Design, implement, optimize, and monitor security controls and tooling from the ground up, strengthening security across endpoints, infrastructure, and application CI/CD pipelines. Collaborate with engineering teams to raise the security bar through reviews, guidance, and automation. Respond to security incidents in real time - manage containment, remediation, forensics, and root cause analysis. Also participate in tabletop exercises, incident simulations, and coordinate external penetration tests. Partner with Solutions Engineering to support enterprise customer onboarding, including SSO integrations (SAML/OIDC), network allowlisting, and security reviews. Join customer facing technical and security discussions where needed, acting as a trusted security point of contact. Risk Management: support the Information Security & Risk Management Lead with vendor security assessments to evaluate third party risk, and ensure Natter meets its present and future regulatory and certification requirements (GDPR, ISO 27001, ISO 42001 etc.). Stay current on emerging threats, vulnerabilities and technologies, and contribute to company wide security awareness initiatives. What You Can Expect Modern cloud native stack with the opportunity to influence tooling and architecture. Immediate impact by choosing and deploying new tooling to enable a fast growing business. Customer facing impact - help unlock enterprise deals and accelerate adoption by reinforcing trust, compliance, and smooth technical onboarding. Security as a sales lever, not a cost. Autonomy and collaboration - the opportunity to focus on coding/programming and implementation, but also collaborating cross functionally with other teams such as solutions engineering, product, and GTM. Growth potential - opportunity to define our security architecture to ensure resilience and security, including HA and ZTNA in a growing global business. You'll work with people who are passionate about what they do, supported by leaders who are empowering, supportive and inclusive. We'd love to hear from you if you have 4-8 years in cybersecurity or technical security or solutions engineering roles. Hands on experience deploying and managing security tooling - such as EDR, IAM, MDM, SIEM, ZTNA, or vulnerability scanners, and enjoy solving problems at the implementation level. Strong communication skills and comfortable communicating technical security concepts to non-security stakeholders. Working knowledge of networking, Windows/macOS, and security protocols. Experience with security reporting and compliance tools. Cloud security knowledge (we use AWS). Proficient in programming languages e.g. Typescript, Python, Bash, or similar. Strong skills in log analysis, threat investigation, and incident response. A proactive and solution oriented mindset, with a bias for action. Desirable It would be a bonus if you have expertise in, or a desire to gain experience in, one or more of the following (note that candidates are not expected to have comprehensive knowledge in all areas) Hands on experience with AWS and AWS security services (CloudTrail, GuardDuty, WAF, IAM, Security Hub). Experience supporting enterprise customers during technical onboarding or security validation. DAST/SAST tooling and IaC security expertise. Knowledge of Kubernetes and container security. Identity & Access Management experience (e.g. Google, Okta). Experience with JVM languages, Terraform/IaC, CDK, or React. Familiarity with GDPR, ISO 27001, SOC 2, EU AI Act/LLMs. Experience delivering audits or using GRC tools (e.g. Drata, Vanta) Interest in AI and/or knowledge of AI security risks and frameworks (e.g. ISO 42001). Security qualifications or certifications.
A dynamic AI solutions provider based in Nottingham is seeking a Machine Learning Engineer to develop and deploy ML models for classification, NLP, and computer vision applications. The ideal candidate should have experience in the full machine learning lifecycle and proficiency in Python, PyTorch, TensorFlow, and AWS. This role offers the opportunity to work on cutting-edge technologies in a collaborative environment.
12/05/2026
Full time
A dynamic AI solutions provider based in Nottingham is seeking a Machine Learning Engineer to develop and deploy ML models for classification, NLP, and computer vision applications. The ideal candidate should have experience in the full machine learning lifecycle and proficiency in Python, PyTorch, TensorFlow, and AWS. This role offers the opportunity to work on cutting-edge technologies in a collaborative environment.
Machine Learning Engineer Epoch Biodesign is a well funded, venture backed start up using biology to make every type of plastic recyclable - starting with nylon. Using a unique combination of AI, synthetic biology and green chemistry, we are scaling enzymatic recycling in order to transform currently unrecyclable plastics and textiles into new, virgin quality materials. Our technology yields substantial reductions in carbon emissions with disruptive unit economics, preventing waste from entering landfill or the environment, allowing us to solve this very urgent challenge. With our pilot plant already processing nylon 6,6 waste, we will imminently complete construction on our larger demo facility. This site will produce material destined for use in garments made by some of the world's biggest fashion, sportswear and luxury brands, and also in components for some of the world's largest car companies. The Role As a Machine Learning Engineer at Epoch you will design and build custom machine learning models that deepen our understanding of protein sequence-structure-function relationships, directly informing enzyme engineering decisions. Working closely with computational and lab biologists, you will rapidly prototype approaches, figure out what works and what doesn't, and develop custom models - not off the shelf solutions - grounded in evolutionary constraints. We want someone scrappy and pragmatic who can move fast, test ideas cheaply, and pivot without hesitation. Your core activities will include: Building custom machine learning and probabilistic models to capture meaningful patterns in protein sequence and structure data, with an emphasis on understanding evolutionary and functional relationships Developing hierarchical and Bayesian modelling approaches to integrate heterogeneous experimental data (e.g. high throughput screening results alongside detailed biochemical assays) Rapidly prototyping against real datasets, quickly assessing whether an approach has merit, iterating based on experimental feedback, and knowing when to abandon an idea and try something different Acting as primary contact with computational and lab biologists to understand their modelling requirements and translate biological questions into well framed ML problems Communicating model outputs and their implications clearly to both wet and dry lab colleagues and to management Training colleagues in the use of deployed models and methods Transitioning successful prototypes into maintainable production tools Essential Qualifications and Experience A degree (PhD preferred) in a quantitative or life science field such as computational biology, bioinformatics, mathematics, computer science, physics, biochemistry or similar - with demonstrated application to biological problems Hands on experience applying machine learning in a life science or biotechnology context Demonstrated ability to build custom models from scratch, not solely relying on pre trained or foundation models - including experience with probabilistic and/or Bayesian modelling approaches Strong technical background in Python and common scientific/ML libraries (e.g. NumPy, SciPy, Pandas, scikit learn, PyTorch or equivalent) Experience working with protein sequence and/or structure data Experience with environment and dependency management tools (e.g. Conda, Mamba) Skills in data engineering, cleaning and preprocessing of experimental datasets Skills in data visualisation (e.g. Matplotlib, Plotly or equivalent) Excellent interpersonal skills, with demonstrable evidence of working collaboratively in an interdisciplinary environment Experience with version control systems (Git) Beneficial Experience with deep learning methods applied to biological data Experience with large language models (LLMs) or protein language models Demonstrated experience with Google Cloud Platform (GCP) or Amazon Web Services (AWS), including cloud based pipeline orchestration Proficiency with Docker and containerised workflows Skills in automated testing Experience in project management Previous start up or scale up experience A working understanding of ClaudeCode or similar Benefits and perks Epoch Biodesign offers a comprehensive benefits program. At the moment this includes: A generous allowance of 30 days paid holiday (plus the usual 8 bank holidays) Meaningful EMI Share Options A non contributory pension of 9% employer contribution Optional company covered private medical insurance with Vitality Group Income Protection Group Critical Illness Flexible working around the core times of 10am to 4pm Cycle to work scheme The opportunity to be part of building something remarkable On-the-job perks Complementary fresh fruit, coffee, tea and snacks Onsite gym Various staff social activities And we're continuously reviewing and enhancing our benefits and work environment.
12/05/2026
Full time
Machine Learning Engineer Epoch Biodesign is a well funded, venture backed start up using biology to make every type of plastic recyclable - starting with nylon. Using a unique combination of AI, synthetic biology and green chemistry, we are scaling enzymatic recycling in order to transform currently unrecyclable plastics and textiles into new, virgin quality materials. Our technology yields substantial reductions in carbon emissions with disruptive unit economics, preventing waste from entering landfill or the environment, allowing us to solve this very urgent challenge. With our pilot plant already processing nylon 6,6 waste, we will imminently complete construction on our larger demo facility. This site will produce material destined for use in garments made by some of the world's biggest fashion, sportswear and luxury brands, and also in components for some of the world's largest car companies. The Role As a Machine Learning Engineer at Epoch you will design and build custom machine learning models that deepen our understanding of protein sequence-structure-function relationships, directly informing enzyme engineering decisions. Working closely with computational and lab biologists, you will rapidly prototype approaches, figure out what works and what doesn't, and develop custom models - not off the shelf solutions - grounded in evolutionary constraints. We want someone scrappy and pragmatic who can move fast, test ideas cheaply, and pivot without hesitation. Your core activities will include: Building custom machine learning and probabilistic models to capture meaningful patterns in protein sequence and structure data, with an emphasis on understanding evolutionary and functional relationships Developing hierarchical and Bayesian modelling approaches to integrate heterogeneous experimental data (e.g. high throughput screening results alongside detailed biochemical assays) Rapidly prototyping against real datasets, quickly assessing whether an approach has merit, iterating based on experimental feedback, and knowing when to abandon an idea and try something different Acting as primary contact with computational and lab biologists to understand their modelling requirements and translate biological questions into well framed ML problems Communicating model outputs and their implications clearly to both wet and dry lab colleagues and to management Training colleagues in the use of deployed models and methods Transitioning successful prototypes into maintainable production tools Essential Qualifications and Experience A degree (PhD preferred) in a quantitative or life science field such as computational biology, bioinformatics, mathematics, computer science, physics, biochemistry or similar - with demonstrated application to biological problems Hands on experience applying machine learning in a life science or biotechnology context Demonstrated ability to build custom models from scratch, not solely relying on pre trained or foundation models - including experience with probabilistic and/or Bayesian modelling approaches Strong technical background in Python and common scientific/ML libraries (e.g. NumPy, SciPy, Pandas, scikit learn, PyTorch or equivalent) Experience working with protein sequence and/or structure data Experience with environment and dependency management tools (e.g. Conda, Mamba) Skills in data engineering, cleaning and preprocessing of experimental datasets Skills in data visualisation (e.g. Matplotlib, Plotly or equivalent) Excellent interpersonal skills, with demonstrable evidence of working collaboratively in an interdisciplinary environment Experience with version control systems (Git) Beneficial Experience with deep learning methods applied to biological data Experience with large language models (LLMs) or protein language models Demonstrated experience with Google Cloud Platform (GCP) or Amazon Web Services (AWS), including cloud based pipeline orchestration Proficiency with Docker and containerised workflows Skills in automated testing Experience in project management Previous start up or scale up experience A working understanding of ClaudeCode or similar Benefits and perks Epoch Biodesign offers a comprehensive benefits program. At the moment this includes: A generous allowance of 30 days paid holiday (plus the usual 8 bank holidays) Meaningful EMI Share Options A non contributory pension of 9% employer contribution Optional company covered private medical insurance with Vitality Group Income Protection Group Critical Illness Flexible working around the core times of 10am to 4pm Cycle to work scheme The opportunity to be part of building something remarkable On-the-job perks Complementary fresh fruit, coffee, tea and snacks Onsite gym Various staff social activities And we're continuously reviewing and enhancing our benefits and work environment.
Software engineer with sound Back End Python/distributed systems experience is required to join the R&D, product-centric engineering team in Reading, Berkshire, for a world-leading company specialising in secure video collaboration technology, where software quality, collaboration, and continuous improvement are central to everything they do. Location: Reading, Hybrid role with office presence to be part of the team. Salary Circa £50-75k + Bens + Stock Key skills required for the Software Engineer role - Python/Distributed Systems Strong commercial experience Circa 3-5 years developing performant Back End systems in Python Experience of working with distributed systems, Concurrency, Multithreading etc Experience or strong interest in asynchronous and network programming Comfortable working in Linux-based development environments Interest in learning systems programming languages such as C, C++ or Rust Familiarity with virtualisation platforms (VMware, KVM, Hyper-V) and/or cloud environments (AWS, Azure, GCP) A quality-driven mindset , with experience in unit, integration, and system testing Excellent written and spoken English , with the ability to discuss complex technical concepts clearly Bachelor's degree in Computer Science or a related STEM subject from a red brick University (or equivalent experience) What you'll do as a Software Engineer - Python/Distributed Systems Collaborate with a highly skilled, globally distributed engineering teamDesign, build, and maintain core components of a Real Time video platformContribute to distributed systems used by hundreds of thousands of users worldwide Solve complex, meaningful technical challenges in a production environmentContinuously improve software quality through testing, automation, and best practices Why this role as a Software Engineer - Python/Distributed Systems? Engineering-led culture - strong focus on software quality, test automation, and clean design Growth mindset - ongoing learning and development opportunities, working with cutting-edge distributed systems Inclusive, people-first environment - diverse perspectives are actively encouraged and valued Real ownership - your work is visible, impactful, and tied directly to product success Purpose-driven technology - enabling secure, seamless communication for critical use cases worldwideBackgrounds could include security, telecoms, video, networking, media, and Real Time or distributed systems, including Client Server systems. Opus Resourcing acts as an employment agency with respect to permanent employment. Apply now or message us for more details. Referrals always welcome!
12/05/2026
Full time
Software engineer with sound Back End Python/distributed systems experience is required to join the R&D, product-centric engineering team in Reading, Berkshire, for a world-leading company specialising in secure video collaboration technology, where software quality, collaboration, and continuous improvement are central to everything they do. Location: Reading, Hybrid role with office presence to be part of the team. Salary Circa £50-75k + Bens + Stock Key skills required for the Software Engineer role - Python/Distributed Systems Strong commercial experience Circa 3-5 years developing performant Back End systems in Python Experience of working with distributed systems, Concurrency, Multithreading etc Experience or strong interest in asynchronous and network programming Comfortable working in Linux-based development environments Interest in learning systems programming languages such as C, C++ or Rust Familiarity with virtualisation platforms (VMware, KVM, Hyper-V) and/or cloud environments (AWS, Azure, GCP) A quality-driven mindset , with experience in unit, integration, and system testing Excellent written and spoken English , with the ability to discuss complex technical concepts clearly Bachelor's degree in Computer Science or a related STEM subject from a red brick University (or equivalent experience) What you'll do as a Software Engineer - Python/Distributed Systems Collaborate with a highly skilled, globally distributed engineering teamDesign, build, and maintain core components of a Real Time video platformContribute to distributed systems used by hundreds of thousands of users worldwide Solve complex, meaningful technical challenges in a production environmentContinuously improve software quality through testing, automation, and best practices Why this role as a Software Engineer - Python/Distributed Systems? Engineering-led culture - strong focus on software quality, test automation, and clean design Growth mindset - ongoing learning and development opportunities, working with cutting-edge distributed systems Inclusive, people-first environment - diverse perspectives are actively encouraged and valued Real ownership - your work is visible, impactful, and tied directly to product success Purpose-driven technology - enabling secure, seamless communication for critical use cases worldwideBackgrounds could include security, telecoms, video, networking, media, and Real Time or distributed systems, including Client Server systems. Opus Resourcing acts as an employment agency with respect to permanent employment. Apply now or message us for more details. Referrals always welcome!
