Machine Learning Engineer London (24/05/2025)...

City of London Permanent, Full-time - Onsite Who we
are: We are an energy trading company generating liquidity across
global commodities markets. We combine deep trading expertise with
proprietary technology and the power of data science to be the
best-in-class. Our understanding of volatile, data-intensive
markets is a key part of our edge. At Dare, you will be joining a
team of ambitious individuals who challenge themselves and each
other. We have a culture of empowering exceptional people to become
the best version of themselves. What you’ll be doing: The Machine
Learning Engineer role is a key role within the technical space at
Dare. Working closely with a talented technical team to build a
platform that delivers ML capabilities to our Liquidity trading
teams. These teams are responsible for delivering products for
internal customers. Setting and delivering a consistent, scalable
approach to machine learning across the organisation is one of the
key success criteria for this role. The role requires building
relationships and collaborating with Senior Leaders across the
business to shape a strategy that delivers models that provide our
traders with a competitive edge. - Using Dare’s proprietary trading
data and models to drive trading PNL. - Developing trading
indicators and strategies powered by machine learning. - Partnering
with quantitative research and algorithmic trading technology
teams. - Collaborating with the CEO and other senior stakeholders
to combine domain knowledge with engineering expertise. What you’ll
bring - 3+ years experience in machine learning algorithms,
software engineering, and data mining models with an emphasis on
large language models (LLM). - A background in maths, statistics,
and algorithms, with the capability to write robust scalable Python
code. - A strong understanding of the mathematical and statistical
fundamentals on which the ML methods are based. We want someone who
understands the methods rather than just calling functions from
existing ML packages. - Experience with production data processing.
That includes data manipulation, data cleansing, aggregation,
efficient (pre-)processing, etc. - Experience with time-series
data, including storage and management. - A strong understanding
through the usage of machine learning frameworks (TenserFlow,
PyTorch, sci-kit-learn, Huggingface). - Ability to work with
analytical teams to build dashboards that prove the value of the
machine learning capabilities as we deliver models to our
production environments. Desirable: - Experience working with
real-time data systems. - Experience working with cloud-based
solutions. Benefits & perks: - Competitive salary - Vitality
health insurance and dental cover - 38 days of holiday (including
bank holidays) - Pension scheme - Annual Bluecrest health checks -
A personal learning & development budget of £5000 - Free gym
membership - Specsavers vouchers - Enhanced family leave - Cycle to
Work scheme - Credited Deliveroo dinner account - Office massage
therapy - Freshly served office breakfast twice a week - Fully
stocked fridge and pantry - Social events and a games room
Diversity matters: We believe in a workplace where our people can
fulfill their potential, whatever their background or whomever they
are. We celebrate the breadth of experience and see this as
critical to problem-solving and to Dare thriving as a business. Our
culture rewards curiosity and drive, so the best ideas triumph and
everyone here can make an impact. Please let us know ahead of the
interview and testing processes if you require any reasonable
adjustments or assistance during the application process. We’re
also proud to be certified a ‘Great Place to Work’. Read more about
our culture and what our team says about us here.
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