Senior Python Developer - Projects - SC Cleared - Full time onsite - Milton Keynes - £560 Inside IR35
One of our government clients is looking for an experienced Senior Developer to join them for a 6 month contract. They are offering £560 per day INSIDE IR35.
Our client is based near Milton Keynes - commutable from Northampton, East Midlands, Bedford, Luton or Central London. Hybrid working.
This role is working in a Security Cleared environment. You will need to be SC or DV (developed vetting) cleared or eligible to undertake SC or DV Security Clearance. Experience Required:
Strong hands-on experience in Python with experience building production-grade applications
Strong hands-on experience in Golang with experience developing scalable Back End services
Strong hands-on experience in C#/.NET with experience building enterprise-grade applications
Mandatory experience designing, developing, and maintaining microservices-based architectures
Strong understanding of distributed systems, service-to-service communication, and fault tolerance
Experience building RESTful APIs and integrating services across multiple systems
Proficiency in writing clean, efficient, testable, and well-documented code
Experience with asynchronous/thread processing, messaging systems, and background workers
Strong experience with Git-based version control and CI/CD pipelines
Working knowledge of security best practices, authentication, and authorization
Solid overall software development experience
Proven experience delivering microservices-based systems in a production environment
Hands-on experience in Golang and C#, with strong proficiency in Python
Experience owning services end-to-end, from design and development to deployment and support
Ability to contribute to architecture decisions and system design discussions
Experience mentoring junior developers and driving engineering best practices
If you think you’d be a good fit for this role, please apply here. We look forward to hearing from you!
SmartSourcing are a Disability Confident Employer and we promote, celebrate and value diversity, we are committed to promoting equality and inclusion for all.
Network IT is currently recruiting for a Python Developer to design, develop, test, and maintain high-quality software solutions for our client in Milton Keynes.
In this role, you will focus on building scalable, efficient, and maintainable applications while collaborating closely with cross-functional teams to deliver impactful technical solutions.
Our client is looking for someone with strong Python experience, along with Goland and C#/.net.
This is a fully onsite role due to the work being carried out. You will need to be eligible for SC Clearance, and hold a British Passport.
Role: Python Developer
Duration: 6 months
Rate: £540 per day
Status: Inside IR35
Location: Milton Keynes
Working Pattern: Onsite Role
Key Responsibilities
We are currently recruiting for an experienced PAM Specialist to work a contract for our client until the end of September (extensions possible) in Culham, working 2-3 days per week on-site.
Essential:
Desirable:
If you feel you have the skills and experience needed for this role; please do apply now.
By applying for this job and submitting your CV to Parker Shaw, you acknowledge and give permission for us to pass it to an associate company for resourcing purposes. We outsource some of our resourcing calls to a trusted third-party company and they may call you to discuss this opportunity with you. They will then report back to us with the outcome of their conversation with you, where upon we will decide whether to submit your CV to the end client. Please be assured that the third-party company do not store or control any of your data, this is all done by ourselves (Parker Shaw).
Requirements:
LA International is an award-winning partner of choice for many of the world’s most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance.
A multiple award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over consecutive years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience.
Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.
PAM Specialist - £400 P/D (Inside IR35) - 5 Month Contract - Hybrid 2/3 Days in Oxford - BPSS Required
Overview
We are seeking an experienced Privileged Access Management (PAM) Specialist to join a major UK government research organisation on a long term programme of work. This is a hands on technical role focused on designing, implementing, and managing enterprise grade PAM solutions to secure privileged access across complex infrastructure.
You will play a key role in strengthening identity security, ensuring robust credential protection, and supporting the organisation’s wider cyber security strategy.
Key Responsibilities
Essential Experience
Desirable Skills
PAM Specialist - £400 P/D (Inside IR35) - 5 Month Contract - Hybrid 2/3 Days in Oxford - BPSS Required
£120,000 GBP
+Sign on +EOY Bonus
Onsite WORKING
Location: Central London, Greater London - United Kingdom Type: Permanent
About the Company:
Our client is seeking a talented Quantitative Researcher to join their team and contribute to the development of cutting-edge trading strategies within their automated trading framework.
Key Responsibilities:
Qualifications and Skills:
Reference: AMC/JST/JQR/NW/001
Postcode: EC2Y 9BH
#josm
Role- Data Scientist Location: London, UK Type of job : Contract Work mode : Hybrid- 2 days onsite in a week Responsibilities: \* Explore, clean, and analyse large, complex datasets to uncover patterns, trends, and opportunities that drive actionable insights. \* Develop, train, and validate machine learning, statistical, and predictive models that solve real business problems and deliver measurable impact. \* Design and run experiments (A/B tests, hypothesis tests, simulations) to evaluate ideas, quantify outcomes, and guide decision‑making. \* Collaborate with data engineers, analysts, product managers, and domain experts to translate business requirements into well‑defined modelling tasks. \* Build end‑to‑end ML pipelines—from feature engineering and preprocessing to deployment‑ready model outputs. \* Apply advanced techniques such as NLP, time‑series forecasting, anomaly detection, optimisation, or LLM/GenAI methods where relevant. \* Implement model evaluation frameworks using offline metrics, cross‑validation, online experiments, and human‑in‑the‑loop feedback loops. \* Communicate insights clearly through dashboards, visualisations, written summaries, and presentations tailored to technical and non‑technical stakeholders. \* Ensure models are interpretable and explainable where required, providing transparency into key drivers and assumptions. \* Work with engineering teams to deploy models into production, monitor performance, and retrain or recalibrate as data and conditions change. Essential skills: Hands-on experience with GenAI, Gemini or Open source LLMs and develop GenAI applications for Code Translation, Text Extraction, Summarisation and SDLC Optimization etc. \* Hands-on Experience with AI Agents, Chat bots, RAG (Retrieval-Augmented Generation), and vector databases. ( PG vector / croma DB ) \* Hands-on Experience with GenAI Performance Evaluation tools like Pegasus, Ragas, DeepEval \* Create Conversational Interface with React JS or other Frontend components, Develop and deploy AI agents using LangGraph and ADK, A2A, MCP \* Strong programming skills in Python (experience with LangChain/LangGraph / LangSmith frameworks) and TypeScript ( preferable ) \* Solid understanding of LLMs, prompt engineering, and graph-based workflows. \* Knowledge and implementation of Input and Output guardrails in addressing Hallucination, PII filtering, HAP and Bias etc. \* Implemented security best practices, Experience to address spikes and Denial of wallet attacks, DDoS attack and other Spike arrest strategies \* Knowledge of API Gateways and ISTIO , ability to Diagnose and intercept failures in End to End communication \* Hands-on Experience with API Development and Microservices architecture Desirable experience: \* Strong experience applying machine learning, statistical modelling, and predictive analytics to real‑world business problems. \* Collaborate with cross-functional teams to ability to resolve end to end connectivity and Data Integrations \* Experience working with large, complex datasets, including data cleaning, feature engineering, and exploratory data analysis. \* Familiarity with LLMs, NLP techniques, and GenAI frameworks, including embeddings, prompt engineering, or fine‑tuning. \* Experience building end‑to‑end ML pipelines, including model validation, optimisation, deployment, and monitoring. \* Understanding of MLOps practices, including model versioning, model registries, CI/CD for ML, and automated training/inference workflows. \* Ability to translate business problems into analytical tasks and communicate insights in a clear, concise manner to technical and non‑technical audiences. \* Knowledge of data governance, including data quality, lineage, ethics, privacy considerations, and responsible AI principles. \* Comfort working with cloud platforms (GCP preferred) for model training, deployment, and scalable compute. \* A growth‑oriented mindset with enthusiasm for exploring new algorithms, tools, and emerging AI/ML techniques
Graduate Software Developer Fully Remote (UK) Tech Stack: C#, SQL Server, PHP, Azure, MVC Salary: £25,000 + Bonus Important: Applicants must already hold a completed First-Class Computer Science degree. Applications cannot be considered from candidates who: Are still studying or graduating in 2026 Require visa sponsorship now or in the future Hold a Student Visa or Graduate/PSW Visa Candidates must have full UK working rights . Start Your Career in Software Development A well-established financial services technology company is looking for a talented Computer Science graduate to join its development team. This is an excellent opportunity to begin your career in software development while receiving structured training in C#, PHP, SQL Server and Microsoft Azure . The role is fully remote, allowing you to work anywhere in the UK while collaborating closely with an experienced Agile development team. From day one you will work alongside developers who will mentor and support your technical development as you contribute to building real production systems used across the organisation. Technologies You Will Work With C# PHP SQL Server MVC frameworks jQuery CSS Microsoft Azure What We Are Looking For We are looking for graduates who enjoy solving technical problems and want to build a career in software development. Candidates should have: First-Class Computer Science degree Strong understanding of Object-Oriented Programming Programming experience with languages such as C#, Java, PHP, C++ or Python Good SQL or database querying skills Interest in cloud technologies such as Azure or AWS Strong communication skills and the ability to work effectively in a remote team Responsibilities Developing applications using C#, PHP and SQL Server Supporting the design and development of internal business systems Writing clean, maintainable and scalable code Working within an Agile development team Participating in testing, code reviews and technical discussions Learning modern cloud development practices using Microsoft Azure Full training and mentoring will be provided. What We Offer £25,000 starting salary Performance bonus scheme Salary review after probation Fully remote working anywhere in the UK Structured graduate training programme Dedicated time for learning and certifications Supportive engineering team and mentoring Health plan and home-office equipment If you are a First-Class Computer Science graduate looking to start your career in software development while working with experienced developers, we would love to hear from you. Please apply with your CV for the Graduate Software Developer Remote position. TPBN1\_UKTJ
Infrastructure Data Engineer - Kafka Focus Fully Remote | Outside IR35 Working pattern: Sunday to Thursday Supporting a team based in Israel Exalto Consulting is supporting a client looking to appoint an experienced Infrastructure Data Engineer with strong Apache Kafka expertise. This is a fully remote contract role for someone who has hands-on experience running and improving Kafka in live production environments. The focus is not on initial setup alone. It is on keeping a high-volume streaming platform reliable, scalable, and well tuned over time. You would be joining a team responsible for maintaining and developing core data infrastructure that supports a range of business-critical use cases. The work includes improving platform performance, strengthening reliability, and helping internal teams make effective use of streaming capabilities. What the role involves You will take ownership of the day-to-day operation and improvement of Kafka infrastructure in production. That includes identifying performance issues, tuning configurations, resolving incidents, and building out the surrounding platform components needed to support a dependable streaming environment. The role also involves close collaboration with engineering, data, and analytics teams, so it is important that you are comfortable working across functions and helping others use the platform effectively. Key responsibilities Operate, maintain, and optimise Kafka clusters in production environments Design and improve Kafka infrastructure to support a range of streaming use cases. Tune Kafka settings including partitions, replication, retention, and throughput Monitor platform performance and address bottlenecks, instability, and capacity issues. Build and support related components including Kafka Connect, Schema Registry, and ELK. Develop internal tooling and microservices to support self-service platform use Improve monitoring, alerting, and observability using Prometheus and Grafana. Investigate production incidents, carry out root cause analysis, and make preventative improvements. Work with engineering, data, and analytics teams to ensure reliable data delivery. What we are looking for Proven experience running Kafka in live production environments. Strong understanding of Kafka internals and the trade-offs involved in scaling and performance tuning. Experience with Kafka Connect and Schema Registry. Good scripting and automation skills, ideally using Python. Experience with Elasticsearch and Kibana. Strong knowledge of Linux environments, shell scripting, and system performance tuning. Experience with Docker and Kubernetes, or similar container and orchestration tooling. Experience with CI/CD, Git, and infrastructure as code tools such as Terraform or Ansible. A solid understanding of distributed systems and streaming architectures. Experience supporting platforms where availability, resilience, and scale are important. Desirable experience Exposure to stream processing tools such as Apache Flink. Experience with cloud platforms including AWS, Azure, or GCP. Knowledge of hybrid environments. Experience with RBAC, multi-tenant systems, or usage metering. Experience with MSSQL or other relational databases. Working arrangement This role is fully remote and sits outside IR35. The team is based in Israel, so the working pattern is Sunday to Thursday. There is a two-hour time difference from the UK, and candidates should be comfortable working in line with that team structure. Important note This role requires genuine hands-on experience operating and optimising Kafka in production. Candidates whose experience is mainly limited to implementation, provisioning, or setup without ongoing production ownership are unlikely to be the right fit. To find out more, please get in touch with Exalto Consulting with a copy of your latest CV. TPBN1\_UKTJ
Senior GCP Engineer (Google Cloud Platform) Location: Manchester (2 days onsite) Salary: Up to £95,000 + Bonus + Benefits Ready to build cloud infrastructure properly, automated, scalable, secure, and engineered (not manually stitched together) This is a high-impact role for a Senior GCP Engineer / Platform Engineer who wants ownership, modern tooling, and a team that actually practices DevOps and Infrastructure as Code (IaC). The Opportunity: Join a cross-functional platform engineering team delivering enterprise-scale Google Cloud Platform (GCP) infrastructure. Youll design reusable cloud products, build automation, and define standards used by multiple engineering teams across a large-scale GCP estate. This is hands-on engineering, not support, with real influence over architecture, tooling, and DevOps practices. What Youll Be Doing: Build and manage GCP infrastructure using Terraform & Terraform Cloud Design and maintain reusable Infrastructure as Code (IaC) modules Improve Terraform state management, structure, and scalability Develop automation and tooling using Python Engineer secure GCP landing zones (org policies, guardrails, policy as code OPA/Sentinel, zero trust) Work with Kubernetes (GKE), containers, and service mesh technologies (e.g. Istio) Manage cluster operations, networking, and service-to-service communication Build and optimise CI/CD pipelines (GitHub, Jenkins, Harness) Drive DevOps best practices and cloud adoption across teams What Youll Bring: Strong experience with Google Cloud Platform (GCP) Solid background in DevOps / Platform Engineering Advanced Terraform skills (modules, workspaces, state management) Experience with Infrastructure as Code (IaC) Strong Python scripting for automation Hands-on experience with Kubernetes / GKE, containerisation, and service mesh architectures Experience with cloud security, governance, and policy as code Relevant GCP or Terraform certifications (desirable) Nice to Have: SME-level GCP expertise or consulting background Experience influencing architecture and DevOps strategy Exposure to internal developer platforms (e.g. Backstage) Why Join? Modern GCP-native environment (not legacy-heavy) High level of engineering autonomy and ownership Opportunity to shape cloud platforms at scale Backed by a major UK organisation with strong career progression Culture focused on DevOps, automation, and engineering excellence TPBN1\_UKTJ
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 the company’s business needs through innovation, creativity and professionalism. In addition, 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:
You will be a team player, who is proactive and able to to demonstrate experience in the following areas:
In addition, you will be Able to demonstrate software skills in some of the following technologies on both Windows and Linux:
Desirable:
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.
Edinburgh Office - Ideally Hybrid model or open to reasonable compromises such as a few days spent in the Edinburgh office around once per month, etc.
Lorien’s client, a great Edinburgh based firm who started out in the SEO domain and have since grown and evolved to become a key name in the Digital Transformation and CRM space, is looking for a hands-on, technical Hubspot Integration Specialist to come on board and play a key role in designing, building, and maintaining integrations between Hubspot and the firm’s wider tech stack.
As well as hybrid/remote flexibilities (based in Edinburgh and ideally hybrid but open to further remote accommodations with occasional visits depending on your location, etc.), they also offer a comprehensive benefits package, ongoing supported opportunities for both upskilling and career progression, and a lot more.
Role Snapshot:
This post offers a great mix of CRM architecture, API development, strategic automation and systems thinking; ensuring seamless data flow, scalable automation and reliable system interoperability across the organisation’s marketing, sales, customer success, finance and product systems.
As the Hubspot Integration Specialist (Technical), you will be responsible for the following key duties:
What you’ll bring to the table:
There’s plenty more we can say about this fantastic firm and opportunity, so if this sounds like a great next step for you and you’re up to the challenge, let us know and pop your latest CV over for us to discuss!
Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
We are partnering with a leading organisation in the data and analytics space to recruit an experienced Senior Site Reliability Engineer. This is an opportunity to join a highly collaborative, technically strong SRE function working on large scale, cloud native platforms that support high volume, high speed data services.
The team is expanding due to increased workload, and this role will become the eighth member of an established, supportive engineering group. You ll play a key part in driving cloud automation, improving system reliability, and supporting critical production environments.
Key Responsibilities
What You Will Bring
Please note, this role is not suitable for candidates with Windows only experience or Engineers without hands on AWS or Linux exposure.
Remote working is supported, with an on-site presence in Nottingham, ideally once per week preferred.
AI GTM Solution Engineer (GenAI / LLM / Pre-Sales)
We re hiring an AI GTM Solution Engineer to help shape and deliver cutting-edge Generative AI (GenAI) and LLM-powered solutions for enterprise customers.
This is a customer-facing pre-sales / solution engineering role where you ll design, prototype and demonstrate AI solutions, working closely with sales, product and engineering teams.
Key Responsibilities
Requirements
Desirable
This is a high-impact opportunity to work at the forefront of AI innovation, influencing GTM strategy and delivering real-world AI solutions.
Senior GCP Engineer (Google Cloud Platform)
Location: Manchester (2 days onsite)
Salary: Up to £95,000 + Bonus + Benefits
Ready to build cloud infrastructure properly automated, scalable, secure, and engineered (not manually stitched together)?
This is a high-impact role for a Senior GCP Engineer / Platform Engineer who wants ownership, modern tooling, and a team that actually practices DevOps and Infrastructure as Code (IaC).
The Opportunity
Join a cross-functional platform engineering team delivering enterprise-scale Google Cloud Platform (GCP) infrastructure.
You ll design reusable cloud products, build automation, and define standards used by multiple engineering teams across a large-scale GCP estate.
This is hands-on engineering, not support, with real influence over architecture, tooling, and DevOps practices.
What You ll Be Doing
What You ll Bring
Nice to Have
Why Join?
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 software solutions for underwater robotics applications in line with the company's business needs through innovation, creativity and professionalism. Able to demonstrate expertise and experience in software used on industrial/vehicle/vessel systems. Reporting to the Software Manager the Software Lead role involves taking responsibility for the delivery of projects and leading multidisciplinary teams to deliver technically complex software projects for subsea vehicles and associated robotic functions. Typically requiring input from several differing software and engineering disciplines and supporting functions the software lead is able to bind these inputs together to successfully deliver the software content for Saab products. Qualifications and Skills: Required skills: A minimum of 7 years' experience as a Senior Engineer. A Degree in a relevant Engineering Discipline. Broad understanding of software from embedded though to applications Leading multi-disciplined teams of software engineers Able to develop a software architecture for complex systems from scratch Sound understanding of modern software methods and technologies Able to maintain a system level approach and not get lost in the detail Able to develop system level requirements and derive lower level requirements to achieve these Sound understanding of safety concepts and design Able to interface directly with customers Able to act as a technical authority Able to communicate technical concepts to non-technical stakeholders Able to estimate work content and duration Able to plan work loading for teams ensuring no team member is overloaded Able to develop and instigate processes to ensure industry best practice is achieved Able to ensure appropriate levels of Software Quality are achieved for projects Able to mentor and develop junior engineers Ability to delegate tasks Able to manage resources and budgets Practical understanding of standards and application of standards Appreciation of Cyber Security and the impacts on design In addition, you will be Able to demonstrate software skills in some of the following technologies on both Windows and Linux: C++ Javascript Python XML JSON HTML CSS Web backend servers (Angular, Django, NodeJS, React, Apache or similar) Web Sockets Docker TCP-IP / UDP SQL or other databases Dev tools (Wireshark, system log interrogation etc..) Databases Cyber Security Desirable: Exposure to IP video and video routing Familiarity in design and testing of control software Familiarity with Systems serving Real Time Information via Web Sockets Use of DDS and interfacing with it Message Queues (Active MQ/Rabbit MQ/ZeroMQ) GUI Development experience (.Net GUI framework, Qt 6.2 or previous versions) Developing and debugging software for application software in Visual studio (2013, 2017, 2022) Customer facing API's using web technologies 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
Site Reliability Engineer – Farnborough – Permanent Overview Fuel Recruitment is supporting a leading organisation within the National Security and Defence sector that is looking for an experienced Site Reliability Engineer to join their growing team. This role sits at the heart of modern platform engineering, working with the latest technologies and driving secure-by-design practices. You’ll be involved in shaping and delivering innovative infrastructure solutions, from proof‑of‑concept through to production. It’s an excellent opportunity for someone passionate about automation, DevOps principles, and continuous improvement. Key Responsibilities \* Deliver, upgrade and maintain core service and project platforms, systems and automation. \* Develop and manage core monitoring and management platforms, ensuring high‑quality observability. \* Collaborate with engineers, developers, operations and QA to design, harden and optimise platforms. \* Create architecture and solution designs for new services, delivering PoCs through to production. \* Conduct security risk and vulnerability assessments, ensuring secure deployment. \* Design, build and maintain automation tooling to improve performance and reliability. \* Diagnose and resolve performance issues across Linux, Docker, Terraform, Kubernetes and related technologies. \* Produce and maintain high‑quality documentation and support mentoring within the team. Key Skills / Experience Essential \* Strong experience with Linux and Windows operating systems. \* Excellent Linux administration skills (e.g. Ubuntu). \* Proficiency in scripting languages (Bash, PHP, Python, PowerShell). \* Hands‑on experience with automation/DevOps tools such as Ansible, Terraform, CI/CD pipelines and Git. \* Experience with Azure or similar cloud technologies. \* Understanding of Desired State Configuration (DSC). \* Strong problem‑solving and analytical skills. \* Willingness to learn, research new technologies and work in a fast‑paced environment. Desirable \* Experience with Infrastructure as Code (IaC) best practices. \* Awareness of security considerations and best practice. \* Knowledge of configuration as code tools (DSC, Ansible). \* Experience with ARM Templates, Terraform and continuous inspection tooling. \* Familiarity with Docker/Podman and container orchestration (Kubernetes, Swarm). \* Experience with GitLab or similar configuration management tooling. \* Knowledge of Jira or similar project/issue management tools. \* Experience with Azure and Azure Stack Hub environments. \* Monitoring and alerting tools experience (Nagios, Splunk). \* Strong documentation and communication skills (Confluence). \* Experience delivering and managing large-scale systems. \* Understanding of Agile and DevOps principles. Security Clearance Due to the nature of the work, candidates must be UK sole nationals and eligible to obtain UK Security Clearance
Trainee AI Engineer - 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? Their 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. Candidates earn £28,000-£45,000. 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 Projecti 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. They Get You Hired They 're not new to this. The company has 15+ years of experience and has placed over 5,000 people into new roles. Their job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. They don't believe in empty promises. Complete their 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, they'll help you turn that into a career you can be proud of. Apply now, and one of thier expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.
AI Engineer Placement Programme- 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? Their AI Placement Programme 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. Candidates earn £28,000-£45,000. 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. They Get You Hired They 're not new to this. The company has 15+ years of experience and has placed over 5,000 people into new roles. Their job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. They don't believe in empty promises. Complete their 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, they'll help you turn that into a career you can be proud of. Apply now, and one of thier expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.
Software Engineer – Scientific Instrumentation Location: Cambridge (On-site) Salary: £40,000 – £55,000 + Share Options Job Type: Full-time The Company An innovative and rapidly growing technology company at the forefront of life science instrumentation is seeking a Software Engineer to join its multidisciplinary team. This is an opportunity to contribute to cutting-edge technology that supports breakthroughs in drug development, biomolecule production and scientific discovery. The Role You will play a key role in developing software that powers a sophisticated analytical instrument, with a strong focus on machine control and hardware integration. Working across the software stack, you will be involved in interfacing with hardware components, controlling experimental workflows and ensuring robust, reliable system performance. While some frontend development is involved, the primary focus is on backend systems and interaction with physical devices. You will collaborate closely with scientists and engineers across multiple disciplines to translate complex experimental requirements into maintainable and scalable software solutions. Key Responsibilities \* Develop software to control instrumentation and experimental workflows \* Interface with hardware components such as sensors, actuators and microcontrollers \* Implement and maintain reliable communication between software and devices \* Troubleshoot issues across hardware and software boundaries \* Contribute to backend systems, data handling and experiment execution \* Support rapid prototyping of new features and hardware capabilities \* Integrate new functionality into an evolving software platform \* Maintain and improve existing codebases \* Fix bugs and enhance system robustness \* Contribute to unit and system testing \* Work closely with cross-functional teams including scientists and engineers \* Participate in technical discussions and solution design Requirements \* Degree (MEng or equivalent) in Computer Science, Software Engineering, Physics or related engineering discipline \* 2–5 years’ experience in software development, ideally within hardware or instrumentation environments \* Strong programming skills in Python, C++ and TypeScript \* Experience with machine control, embedded systems or hardware integration \* Familiarity with Git, build processes and software development lifecycle \* Strong problem-solving skills and ability to learn quickly in a practical environment \* Excellent communication and teamwork abilities What’s on Offer \* Opportunity to work on cutting-edge technology at the intersection of science and engineering \* Collaborative, fast-paced environment with real product impact \* Exposure to multidisciplinary teams and complex systems \* Share option scheme \* Competitive salary package
Applications Operations Analyst - LondonPermanent Hybrid Working Competitive Salary
An international law firm is seeking an experienced Applications Operations Analyst to join its London office. This is a fantastic opportunity to play a key role in maintaining and improving the performance, security, and reliability of enterprise applications across a dynamic and fast-paced professional services environment.
Reporting to the Manager of Applications Operations, the successful candidate will be responsible for day-to-day system support, patching, monitoring, and troubleshooting, while also contributing to process improvement, documentation, and integration stability. The role involves close collaboration with infrastructure, security, and business teams to ensure seamless application performance and user experience.
Key Responsibilities:
Ideal Candidate Profile:
It offers the chance to work within a collaborative team and contribute to the ongoing improvement of critical business systems.
To express interest or learn more, please get in touch directly.
Due to the high volume of applications, we are not able to respond to all enquiries. If you have not received a response within 72 hours, please assume you have not been shortlisted at this stage, however thank you for taking the time to apply.
Ryder Reid Legal is a recruitment specialist. For over thirty years we’ve been connecting legal talent with many of the leading law firms in London and internationally. Follow our LinkedIn page for the latest vacancies.