At a Glance
- Tasks: Join a network of AI talent and connect with top tech companies in London.
- Company: FemTechConf, a leader in AI and software engineering recruitment.
- Benefits: Flexible work options, diverse projects, and opportunities for growth.
- Other info: Open application for various roles across a dynamic tech ecosystem.
- Why this job: Be part of the AI revolution and shape the future of technology.
- Qualifications: Experience or interest in AI, machine learning, or software engineering.
The predicted salary is between 70000 - 90000 £ per year.
- AI Software Engineer Talent Network | London | Open Application
- Fem Tech Conf Partner Network
- Build the Next Generation of AI-Powered Products in London
Are you an AI Software Engineer, Machine Learning Engineer, Applied AI Engineer, Software Engineer, Backend Engineer, Data Engineer, LLM Engineer, AI Product Engineer, or Full-Stack Engineer with experience or interest in artificial intelligence?
Fem Tech Conf is building a network of exceptional AI and software engineering talent interested in connecting with our clients and partner organisations across the London and UK technology ecosystem.
By applying to this opportunity, your profile may be shared with selected Fem Tech Conf clients and partner organisations that are actively looking for engineers across areas such as:
- AI Software Engineering
- Machine Learning Engineering
- AI Product Development
- Automation
- AI Infrastructure
Our clients and partners include startups, scale‑ups, global technology companies, consulting organisations, enterprise technology teams, AI‑focused companies, research‑driven teams, and organisations investing in software, data, cloud, automation, and artificial intelligence.
This is an open application opportunity designed to connect strong AI and software engineering talent with current and future roles across our client and partner network.
What Our Clients Are Looking For
While requirements vary depending on the organisation, our clients are typically interested in AI software engineers with experience across one or more of the following areas:
- AI Software Engineering
- Building AI‑powered products, platforms, tools, or internal systems
- Integrating AI models into production software
- Developing intelligent features for web, mobile, Saa S, enterprise, or customer‑facing products
- Working with APIs, backend systems, data pipelines, and AI services
- Building scalable, reliable, and user‑focused AI applications
- Translating AI concepts into practical product features
- Machine Learning and Applied AI
- Machine learning model development, training, fine‑tuning, or evaluation
- Applied AI use cases across automation, prediction, classification, recommendation, search, or personalisation
- Python, Py Torch, Tensor Flow, scikit‑learn, Hugging Face, or similar tools
- Model evaluation, experimentation, and performance improvement
- ML pipelines, feature engineering, and model deployment
- Responsible and reliable AI implementation
- LLMs, Generative AI and AI Agents
- Large language models and generative AI applications
- Prompt engineering and AI workflow design
- Retrieval‑augmented generation, vector databases, embeddings, and semantic search
- AI agents, copilots, chatbots, automation tools, and intelligent assistants
- Evaluation, guardrails, monitoring, and reliability for LLM‑based systems
- Backend, Data and Cloud Engineering
- REST APIs, Graph QL, microservices, and distributed systems
- Databases such as Postgre SQL, Mongo DB, Redis, Snowflake, Big Query, or similar
- Data pipelines and analytics infrastructure
- AWS, Azure, Google Cloud, or similar cloud platforms
- Docker, Kubernetes, CI/CD, observability, and deployment workflows
- Product, Collaboration and Engineering Quality
- Working closely with product managers, designers, data scientists, researchers, and business teams
- Writing clean, scalable, maintainable, and well‑tested code
- Turning ambiguous problems into usable technical solutions
- Building prototypes, MVPs, and production‑ready features
- Code reviews, technical documentation, and engineering best practices
- User‑focused product thinking and strong communication skills
- Typical Responsibilities
- Depending on the client organisation and opportunity, responsibilities may include:
- Designing, building, testing, and maintaining AI‑powered software products, platforms, and internal tools
- Integrating machine learning models, LLMs, APIs, or AI services into production systems
- Developing backend, full‑stack, data, cloud, or AI infrastructure solutions
- Building AI agents, copilots, recommendation systems, automation tools, or intelligent product features
- Collaborating with product managers, designers, data scientists, researchers, and other engineers
- Supporting model evaluation, experimentation, deployment, and monitoring
- Improving the performance, reliability, scalability, and safety of AI‑enabled systems
- Building data pipelines, vector search systems, retrieval systems, or AI workflows
- Participating in code reviews, technical discussions, and agile development processes
- Contributing to architecture decisions for AI, data, backend, cloud, and platform systems
- Helping teams turn AI ideas into useful, reliable, and impactful products
- Ideal Candidate
We welcome applications from engineers with experience across AI software engineering, machine learning engineering, applied AI, backend engineering, data engineering, full‑stack engineering, cloud engineering, or product engineering.
Successful candidates may have
- Professional experience as an AI Software Engineer, Machine Learning Engineer, Applied AI Engineer, Software Engineer, Backend Engineer, Data Engineer, Full‑Stack Engineer, LLM Engineer, or similar role
- Experience building production software, AI applications, data systems, platforms, or APIs
- Understanding of AI, machine learning, LLMs, data pipelines, automation, or intelligent systems
- Experience with tools such as Py Torch, Tensor Flow, Hugging Face, Open AI, Lang Chain, vector databases, cloud platforms, or similar technologies
- Ability to write clean, scalable, and maintainable code
- Experience working in agile product or engineering teams
- Strong communication skills and the ability to work with technical and non‑technical stakeholders
- Interest in London‑based, UK‑based, hybrid, or remote AI and software engineering opportunities
- Passion for artificial intelligence, product development, innovation, and continuous learning
You do not need to have every skill listed. We encourage applications from candidates with different technical backgrounds, career paths, and levels of experience.
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Tech Recruiter | Talent Network in London employer: FemTechConf
As a Software Engineer with our partner network in London, you will be part of a vibrant community at the forefront of artificial intelligence and emerging technologies. We offer a collaborative work culture that fosters innovation and creativity, alongside ample opportunities for professional growth and networking within one of the largest AI communities globally. Join us to not only advance your career but also contribute to shaping the future of software development and AI-powered solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Tech Recruiter | Talent Network in London
✨Make Your Portfolio Shine
As a freelancer in software development, your portfolio is your bread and butter. Showcase not only your completed projects but also your coding skills on platforms like GitHub or GitLab. This visibility can lead to clients reaching out to you directly!
✨Join Developer Communities
Get involved in developer communities like Stack Overflow or Reddit's r/programming. Contributing to discussions, sharing your knowledge, or even helping others can expand your network and lead to freelance opportunities. Plus, it keeps you in the loop about what’s trending in software development.
✨Freelance Platforms Are Your Friend
Sign up for popular freelance platforms such as Upwork or Freelancer. They’re filled with people looking for talent like yours! Don’t forget to personalise your pitch to each potential client, highlighting how your unique skills can solve their specific problems.
✨Utilise Your Network
Don’t hesitate to reach out to your existing contacts - you never know who might need your services or can refer you to someone who does. Personal connections can lead to more reliable gigs than cold applications. And we're here to help too! If you're looking for freelance opportunities, check out opportunities listed on our website.
We think you need these skills to ace Tech Recruiter | Talent Network in London
Some tips for your application 🫡
Showcase Your GitHub Projects:When applying for a freelance software engineering gig at FemTechConf, make sure to include your GitHub link in your application. Highlighting your code repositories, contributions to Open Source, and any personal projects can really set you apart and give us insight into your skills and coding style.
Tailor Your CV with Relevant Skills:In software development, the specifics matter! Make sure your CV lists the programming languages and technologies you excel at. Focus on the ones that align with the projects FemTechConf is working on. Listing your tech stack clearly will help us understand how you fit into our team.
Include a Portfolio of Your Work:A solid portfolio is a must when applying for freelance roles. Include links to any apps, websites, or software you've developed. Highlight any projects that reflect a strong user experience, efficiency, or innovative solutions—this is your chance to shine and show us what you can bring to the table!
Mention Your Availability and Rates:Since this is a freelance role, we want to know when you’re available and what your rates are like! Be upfront about your typical work hours and project timelines. This transparency will help us see if we can sync up for future projects at FemTechConf.
How to prepare for a job interview at FemTechConf
✨Showcase Your Code Wizardry
Since you're going for a freelance role in software engineering, have a solid portfolio ready to flaunt your best work. Include projects that highlight your coding skills, frameworks you excel in, and any problem-solving feats you've pulled off. This is your chance to shine, so choose pieces that reflect your unique style and expertise!
✨Prepare for Technical Challenges
Freelance gigs often involve tech assessments or coding challenges, so be ready to tackle some hands-on problems. Brush up on common algorithms, data structures, and any languages/frameworks relevant to the role at FemTechConf. Being comfortable with platforms like HackerRank or LeetCode can give you an edge and showcase your skills under pressure!
✨Be Clear About Your Rates and Flexibility
As a freelancer, be prepared to discuss your rates upfront. It's crucial to communicate your pricing structure clearly and whether you're open to negotiation. Do your homework on industry standards to ensure you pitch a fair and competitive rate that reflects your skills and experience!
✨Understand Their Tech Stack
Before the interview, get familiar with the tools and technologies used at FemTechConf. Whether it's a particular framework or a specific coding methodology, being knowledgeable about their tech stack not only shows your interest but also helps you present how you could fit seamlessly into their existing projects. Demonstrating you’ve done your homework can set you apart from other candidates!
