Machine Learning Engineer London [Apply Now]

City of London Permanent, Full-time - Onsite Who weare: We are an energy trading company generating liquidity acrossglobal commodities markets. We combine deep trading expertise withproprietary technology and the power of data science to be thebest-in-class. Our understanding of volatile, data-intensivemarkets is a key part of our edge. At Dare, you will be joining ateam of ambitious individuals who challenge themselves and eachother. We have a culture of empowering exceptional people to becomethe best version of themselves. What you’ll be doing: The MachineLearning Engineer role is a key role within the technical space atDare. Working closely with a talented technical team to build aplatform that delivers ML capabilities to our Liquidity tradingteams. These teams are responsible for delivering products forinternal customers. Setting and delivering a consistent, scalableapproach to machine learning across the organisation is one of thekey success criteria for this role. The role requires buildingrelationships and collaborating with Senior Leaders across thebusiness to shape a strategy that delivers models that provide ourtraders with a competitive edge. - Using Dare’s proprietary tradingdata and models to drive trading PNL. - Developing tradingindicators and strategies powered by machine learning. - Partneringwith quantitative research and algorithmic trading technologyteams. - Collaborating with the CEO and other senior stakeholdersto combine domain knowledge with engineering expertise. What you’llbring - 3+ years experience in machine learning algorithms,software engineering, and data mining models with an emphasis onlarge language models (LLM). - A background in maths, statistics,and algorithms, with the capability to write robust scalable Pythoncode. - A strong understanding of the mathematical and statisticalfundamentals on which the ML methods are based. We want someone whounderstands the methods rather than just calling functions fromexisting ML packages. - Experience with production data processing.That includes data manipulation, data cleansing, aggregation,efficient (pre-)processing, etc. - Experience with time-seriesdata, including storage and management. - A strong understandingthrough the usage of machine learning frameworks (TenserFlow,PyTorch, sci-kit-learn, Huggingface). - Ability to work withanalytical teams to build dashboards that prove the value of themachine learning capabilities as we deliver models to ourproduction environments. Desirable: - Experience working withreal-time data systems. - Experience working with cloud-basedsolutions. Benefits & perks: - Competitive salary - Vitalityhealth insurance and dental cover - 38 days of holiday (includingbank holidays) - Pension scheme - Annual Bluecrest health checks -A personal learning & development budget of £5000 - Free gymmembership - Specsavers vouchers - Enhanced family leave - Cycle toWork scheme - Credited Deliveroo dinner account - Office massagetherapy - Freshly served office breakfast twice a week - Fullystocked fridge and pantry - Social events and a games roomDiversity matters: We believe in a workplace where our people canfulfill their potential, whatever their background or whomever theyare. We celebrate the breadth of experience and see this ascritical to problem-solving and to Dare thriving as a business. Ourculture rewards curiosity and drive, so the best ideas triumph andeveryone here can make an impact. Please let us know ahead of theinterview and testing processes if you require any reasonableadjustments or assistance during the application process. We’realso proud to be certified a ‘Great Place to Work’. Read more aboutour culture and what our team says about us here.#J-18808-Ljbffr