National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist - AI

Sidetrade
Birmingham
11 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist - AI / ML, Python, Scripting, Cyber Security

Data Scientist - Inside IR35 contract

Data Scientist

Data Scientist

Data Scientist / ML Engineer

Calling all tech enthusiasts! Are you a problem-solving, curious, and strategic Data Scientist ? Join us at Sidetrade, the leading global SaaS provider recognized by Gartner.(

Indulge your passion for high-availability software and performance enhancement as part of our dynamic team. Embrace the challenge, embrace the excitement – become a Data Scientist and thrive! Shape the future of AI-powered Order-to-Cash at Sidetrade today. Join us in creating innovative solutions that redefine the industry!

About Sidetrade and its amazing R&D team

Sidetrade is a fast-growing international software company that is transforming the Order-to-Cash process for global enterprises. Its AI-powered SaaS platform digitizes the financial customer journey, empowering CFOs to secure and accelerate cash flow generation. Recognized as a Leader in Gartner's Magic Quadrant for two consecutive years, Sidetrade fosters a culture of innovation, collaboration, and customer-centricity from its headquarters in Europe and North America.

The R&D team comprises experienced tech professionals who share a deep passion for technology. Together, they are dedicated to developing cutting-edge software solutions that drive the transformation of our customers' work processes. We provide comprehensive training, coaching, resources, and mentorship to empower every team member's growth and nurture their success.

What you will love about working at Sidetrade

 At Sidetrade, you'll be at the forefront of AI and Data Science, collaborating with talented minds to push the boundaries of B2B interactions. Our agile development environment fosters continuous learning and growth, with challenging projects, comprehensive benefits, and professional development opportunities to propel your career. Make a real-world impact by delivering high-quality AI features used by leading global enterprises. Collaborate with multi-disciplinary teams across the UK and France in a culture that values open communication, teamwork, and celebrates individual achievements.

Requirements

What you will do:

Designing, developing, and implementing machine learning models to solve complex business problems for large enterprises. Collaborating with data scientists to explore, prepare, and engineer high-quality datasets for model training. Developing and maintaining robust AI pipelines for efficient model training, deployment, and monitoring. Analyzing model performance and iterating on algorithms to achieve optimal results. Staying up-to-date on the latest advancements in AI research and translating them into practical solutions for B2B applications.

What you will bring:

3+ years of experience working as an ML Engineer or Data Scientist Significant Python programming experience in relevant open source toolkits like scikit-learn, PyTorch etc Experience developing software that utilizes Large Language Models Experience creating and using advanced machine learning algorithms and statistics: regression, clustering, decision trees, neural networks, etc. Experience in MLOps tools such as MetaFlow, Kubeflow, MLflow, Airflow, etc Experienced with RestAPI python frameworks such as Fast API/Flask Experience with SQL and NoSQL databases such as MongoDB, Postgres, Neo4j, etc Good grasp of software development lifecycles Demonstrated ability to efficiently learn and solve problems in new domains Strong analytical and problem-solving skills

Desirable Skills

Bachelor's or master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field. Understanding of the Retrieval Augmented Generation architecture and ideally deploying solutions leveraging RAG. Experience with LLM fine tuning, and LLM agents Experience profiling and optimising code for optimal CPU/GPU, memory and bandwidth usage. Experience in Machine Learning and Neural Network architectures like Ensemble Models, SVM, CNN, RNN, Transformers, etc. Speaking French would be an advantage, but not essential

Benefits

Join our Immersive Bootcamp Review your onboarding plan with your manager and develop an action plan to achieve your goals Collaborate with the team and participate to the roadmap to optimize software performancebuild your internal network across all departments Expand your skill set, share your expertise and unlock your full potential

At Sidetrade, we cultivate a multicultural environment that fuels innovation. With over 22 nationalities represented, we strongly value diversity, gender equality, inclusivity, and fairness. As an equal opportunity employer, we reject all forms of discrimination and harassment. Your unique contributions are celebrated, driving collective success in our inclusive workplace.

Discover more on 

Agencies

Only applications from invited agencies through the Workable portal will be accepted. Unsolicited CVs sent directly to managers or HR will not incur any fees.

Apply for this job

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.