At a Glance
- Tasks: Build AI-powered products and collaborate on innovative tech solutions.
- Company: Join FemTechConf, a leading community for women in tech.
- Benefits: Flexible hybrid/remote work, diverse opportunities, and a supportive network.
- Other info: Open to all backgrounds, especially encouraging underrepresented groups to apply.
- Why this job: Make an impact in AI and software engineering while connecting with top organisations.
- Qualifications: Experience in AI, machine learning, or software engineering is a plus.
The predicted salary is between 70000 - 90000 £ per year.
- AI Software Engineer Talent Network | London | Open Application
- Fem Tech Conf Partner Network
Fem Tech Conf is building a network of talented AI and software engineering professionals interested in connecting with some of our partner organisations across London and the wider UK technology ecosystem.
By applying to this opportunity, your profile may be shared with selected Fem Tech Conf partner organisations that are actively looking for technical talent to help build across areas such as:
- AI-powered products
- Machine learning systems
- Software platforms
- Data infrastructure
- Cloud-native applications
- LLM applications
- Automation tools
- Internal AI systems
Our partners include startups, scale-ups, AI companies, global technology organisations, consulting firms, enterprise technology teams, and companies investing heavily in artificial intelligence, software engineering, data, cloud, automation, and digital transformation.
This is an open application opportunity designed to connect strong AI and software engineering talent with current and future opportunities across our partner network.
About Fem Tech Conf
Fem Tech Conf is one of Europe’s largest communities for women and allies in technology, with more than 450,000 members globally across software engineering, product, data, AI, cloud, cybersecurity, leadership, business, investment, and innovation.
We work with leading organisations to help build more diverse, innovative, and inclusive technology teams while creating access to opportunities for women and underrepresented talent across the technology industry.
Through our community, events, talent network, and partnerships, we help connect exceptional candidates with companies that are actively hiring and investing in diverse technology talent.
What Our Partners Are Looking For
While requirements vary depending on the organisation, our partners are typically interested in engineers with experience across one or more of the following areas:
- AI and Machine Learning Engineering
- Machine learning systems
- LLM applications
- Generative AI tools
- AI agents and automation
- Evaluation and optimisation of AI systems
- Software Engineering
- Full stack development
- API design and development
- Distributed systems
- Cloud-native software
- Scalable software architecture
- Testing, reliability, and performance optimisation
- Data, Cloud and Infrastructure
- MLOps
- Data infrastructure
- Cloud platforms such as AWS, Azure, or Google Cloud
- Containerisation and orchestration
- Dev Ops practices
- Monitoring and observability
- Product and Business Impact
- Building AI-powered features for real users
- Translating product requirements into technical solutions
- Working closely with product, design, data, and business teams
- Improving internal tools and automation
- Contributing to technical decision-making and product direction
- Typical Responsibilities
- Depending on the partner organisation and opportunity, responsibilities may include:
- Building AI-powered products, features, tools, and internal systems
- Developing scalable backend services, APIs, and software platforms
- Integrating LLMs, machine learning models, and AI services into production applications
- Collaborating with product managers, designers, data scientists, and engineering teams
- Improving the performance, reliability, security, and scalability of software systems
- Designing and maintaining data pipelines, model workflows, or cloud infrastructure
- Supporting the development of AI agents, automation workflows, and intelligent applications
- Writing clean, maintainable, well-tested code
- Contributing to architecture discussions and technical planning
- Evaluating new AI tools, frameworks, and technologies
- Supporting inclusive, collaborative, and high-performing engineering cultures
- Ideal Candidate
We welcome applications from candidates with backgrounds such as AI Software Engineer, Machine Learning Engineer, Software Engineer, Backend Engineer, Full Stack Engineer, Applied AI Engineer, AI Engineer, Data Engineer, MLOps Engineer, or similar technical roles.
Successful candidates will typically have
- Experience building software products, platforms, tools, or technical systems
- Experience working with AI, machine learning, LLMs, data systems, or automation tools
- Understanding of software engineering best practices, testing, architecture, and deployment
- Experience with cloud platforms, APIs, databases, or backend systems
- Ability to work cross-functionally with product, data, design, and business teams
- Interest in building practical AI products and real-world technology solutions
- Curiosity about emerging technologies and the future of AI
- A collaborative mindset and strong communication skills
- Interest in UK-based, hybrid, or remote engineering opportunities
- German language skills may be beneficial for some partner opportunities, but are not required for all roles
We welcome applications from all backgrounds and strongly encourage women and candidates from underrepresented groups in technology and AI to apply.
Apply Today
Submit your application and CV to join the Fem Tech Conf AI Software Engineer Talent Network in the UK.
If your background aligns with current or future opportunities within our partner ecosystem, selected partner organisations may reach out directly to discuss relevant roles, introductions, or next steps.
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AI & ML Software Engineer — Hybrid/Remote UK employer: Women in AI
FemTechConf is an exceptional employer, dedicated to fostering a diverse and inclusive technology ecosystem in London. By joining our Tech Recruiter Talent Network, you will not only connect with leading tech companies but also become part of a vibrant community that champions women and underrepresented talent in technology. We offer unique networking opportunities, access to a wide range of recruitment roles, and a commitment to employee growth through meaningful initiatives that support innovative hiring practices.
StudySmarter Expert Advice🤫
We think this is how you could land AI & ML Software Engineer — Hybrid/Remote UK
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Women in AI or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Women in AI.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Women in AI.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Women in AI that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI & ML Software Engineer — Hybrid/Remote UK
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Women in AI.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Women in AI and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Women in AI
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Women in AI uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
