Job Description - Machine Learning Engineer SaaS
Client Server - Machine Learning Engineer SaaS, Cambridge (CB1), CB1. Search Search Machine Learning Engineer SaaS Client Server View Profile Cambridge (CB1), CB1 Permanent Published: 2 days ago £80000 - £90000 per annum + benefits Machine Learning Engineer SaaS Client Server Machine Learning Engineer (Python TensorFlow SaaS) Cambridge to £90k Do you have experience of solving real-world problems via Machine Learning techniques? You could be progressing your career at a highly successful SaaS tech company that provides AI and ML products for automotive innovators to design better cars faster and achieve greater sustainability through Machine Learning. What's in it for you: Competitive salary - to £90k Private Health Care Life Assurance Up to 6% employer pension contribution 25 days holiday Complex and interesting work with continual learning opportunities Your role: As a Machine Learning Engineer you'll build the ML capabilities that power the product, typically you'll collaborate with the research team to productionise ideas that are ahead of the published literature, evaluating and integrating established methods or developing your own algorithms, ensuring reliability and maintainability within a complex, integrated codebase. You'll liaise with clients to understand engineering problems that the product can address and guide them through new ways of working as well as diagnosing complex issues to analyse if it's a data quality issue, unexpected model behaviour, a configuration problem or a genuine bug. You'll be at the intersection of shaping product direction, balancing what ML researchers envision with what customers actually need and what is realistic to build and maintain in production. Location / WFH: You'll join the team in Cambridge, ideally once a week (potentially once a month) with flexibility to work from home most of the time. About you: You have strong theoretical and practical understanding of the foundations of Machine Learning with experience of applying these to solve real-world problems You have strong Python skills, including TensorFlow and PyTorch ML frameworks You enjoy solving complex problems proactively but know when to ask for help from domain experts, researchers and engineers You have strong foundations in probabilistic modelling (Gaussian processes, Bayesian methods, uncertainty quantification) You're a confident communicator, comfortable liaising with clients Apply now to find out more about this Machine Learning Engineer (Python TensorFlow SaaS) opportunity. In Short Industry HR & Recruitment Founded 1999 Location London, Esher, Europe Company size 50 - 199 Who We Are At Client Server, we are driven by technology but powered by people. We help businesses across the UK, Europe, and the USA build world-leading engineering and tech teams. Since 1999, we have partnered with some of the biggest names in technology, from Fintech and Gaming to Crypto and Proprietary Trading, to find people to propel them forward. Partnering with our Clients We work with clients ranging from cutting edge technology start-ups to established technology leaders, including software houses, investment banks, hedge funds and consultancies. We see ourselves as a dedicated part of a client’s recruiting arm, with servicing tech roles at the core. Each client is assigned their own Account Manager, who is the first port of call for all hiring and candidate queries. It is their job to know and anticipate a client’s needs and ensure only the highest calibre of candidates is presented for their roles. “Client Server have always found us exceptional candidates - both permanent and freelance - that meet the requirements we give them regarding skillset or rates. It's quality over quantity and they take a huge amount of the leg work out of recruitment by really filtering the pool of potential hires before they get to us.” Working with Top Talent Partnerships define us. We’re proud of the thousands of technologists whose careers we’ve helped build, often over several years and different jobs. We regularly work with candidates from all over the world, and have a detailed understanding of the technology market, salaries and range of opportunities available. “Client Server maintained a high level of professionalism throughout the entire process. Communication was clear, timely, and transparent. In particular, I am the most happiest with how recruiting team demonstrated a thorough understanding of both the job requirements and my qualifications.” Our Commitment to DEI Client Server is dedicated to building diverse technology teams globally. We see first-hand the benefits of hiring a diverse team and encourage our clients to have regular conversations around diversity to ensure their attitudes reflect our own. We help clients with specific diversity needs by implementing female friendly recruitment processes such as blind hiring and by writing adverts that use female coded words, highlight female friendly benefits, and include DEI statements. We post these adverts on a range of professional channels including smaller DEI websites to build diverse pipelines. Methods we encourage our clients use to improve DEI: Diverse interviewing panels Female imagery on websites Remote working Enhanced maternity Returnships Hiring females into leadership In 2023, 18% of our placements were female. We are always striving to improve these figures year on year and will continue to do our part to shrink the diversity gap in tech. Talking Tech Are you fascinated by the ever-evolving world of technology and how it's reshaping our lives, industries, and the future as we know it? Welcome to Talking Tech! In each episode, we explore the latest tech trends, innovations, and breakthroughs that are transforming the way we live, work, and play. We’ve had episodes about start-up culture, the tech hiring market, diversity, and career development. Our guests include visionaries, entrepreneurs, engineers, and thought leaders who are shaping the future of tech. If you're interested in Talking Tech and joining Nick for an episode, please get in touch. 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