At a Glance
- Tasks: Design and deploy cutting-edge AI solutions using AWS technologies.
- Company: Join a forward-thinking tech consultancy focused on innovative AI.
- Benefits: Competitive day-rate, remote work, and continuous learning opportunities.
- Other info: Collaborative culture with opportunities for career growth and influence.
- Why this job: Work on impactful AI projects that shape the future of technology.
- Qualifications: Experience in AI applications, AWS, and strong Python skills required.
The predicted salary is between 80000 - 100000 £ per year.
Introduction
Join a technology consultancy delivering cutting-edge AI solutions for enterprise clients.
This is an opportunity to build production-grade agentic AI systems using the latest AWS technologies, helping organisations turn AI ambition into real-world business outcomes.
Role Overview
Location
Fully Remote
Day-Rate
Competitive - Outside IR35
Industry
- Technology / AI & Cloud Consulting
- What You’ll Be Doing
- Design, build and deploy production-ready agentic AI solutions using Amazon Bedrock and the wider AWS ecosystem.
- Develop multi-agent architectures, orchestration frameworks and intelligent workflows that solve complex business challenges.
- Build and maintain Model Context Protocol (MCP) servers to enable seamless integration across AI platforms.
- Design scalable Retrieval-Augmented Generation (RAG) solutions, managing knowledge bases, vector stores and document ingestion pipelines.
- Integrate Large Language Models into enterprise applications through prompt engineering, tool calling and context management.
- Build secure, scalable AI back-end services using AWS Lambda, Dynamo DB, S3 and other serverless technologies.
- Implement monitoring, tracing and observability to ensure AI applications are reliable, performant and production-ready.
- Work closely with engineering, product and client teams to shape AI architectures and contribute to technical strategy.
- Support the delivery of innovative AI capabilities from concept through to production deployment.
- Main Skills Needed
- Proven experience delivering production-grade AI applications using Amazon Bedrock.
- Strong background designing and implementing agentic AI and multi-agent systems.
- Hands-on experience building or integrating MCP (Model Context Protocol) servers.
- Experience developing RAG architectures, knowledge bases and vector search solutions.
- Strong Python development skills within AI and cloud environments.
- Solid understanding of AWS services, particularly Lambda, Dynamo DB and S3.
- Experience integrating LLMs using prompt engineering, context management and function calling techniques.
- Knowledge of observability, monitoring and tracing tools such as Cloud Watch.
- Strong software engineering principles with a focus on scalable, maintainable production systems.
- AWS certifications, particularly AI/ML Speciality, would be advantageous.
- What’s in It for You
- Work on genuinely innovative AI projects using some of the latest technologies in the AWS ecosystem.
- Build enterprise-scale AI solutions that move beyond proof of concept into real production environments.
- Collaborate with experienced engineers, architects and AI specialists on challenging client engagements.
- Influence technical direction while working at the forefront of agentic AI and cloud engineering.
- Continuous learning opportunities with access to emerging AI technologies and best practices.
- Hybrid working and a collaborative, engineering-first culture.
Big plans. Big impact. Ready to be part of it?
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.
By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions.
You can opt out of this at any time simply by contacting one of our consultants.
AI Engineer (Contract) in Telford employer: Addition+
Addition is an exceptional employer that fosters a dynamic work culture in the heart of London, where innovation meets collaboration. With a strong emphasis on professional development, employees are encouraged to grow their skills and advance their careers while enjoying competitive salaries and flexible working arrangements. Joining Addition means being part of a forward-thinking team dedicated to making a meaningful impact in the cyber security landscape.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (Contract) in Telford
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace AI Engineer (Contract) in Telford
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like AI Engineer (Contract) at Addition+, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at Addition+.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at Addition+
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
