Machine Learning Engineer – FinTech (Open banking) – Remote (UK) £85k
Are you an end2end Machine Learning Engineer, with experience taking models from POC through to production and model monitoring?
Do you consider yourself a good software engineer, apply best practices and familiar with approaches like TDD?
Who are we?
We’re a Series A funded, Open Banking Platfrom in the MENA, creating products to serve over half a billion people. We are currently just over 100 people and looking to add a Machine Learning Engineer to our Data team.
What will I do?
You’ll be translating business cases to gain insights from financial data into Data Science solutions, creating prototypes, developing, training, testing models, building CI/CD pipelines and productionising models onto AWS.
Working with our team of ML, Software, Data Engineer and Analysts, you’ll develop and deploy a broad range of ML models including classification, regression and NLP.
What experience will I have?
We are looking for someone with around 3 years’ experience in deploying Machine Learning models and has experience with the following:
Solid software Engineering experience Python Machine Libraries (Pandas, NumPy, SKLearn etc) Strong working knowledge of AWS (Sagemaker, EMR, Athena etc) Familiar with working with CI/CD Experience with containerised systems (Docker/K8)What’s on offer?
Being a startup, we haven’t yet developed all our perks and benefit, but we are in a great position to offer a base salary of up to £85k, 25 days holidays, medical stipend and fully remote working in the UK.
How do I find out more?
If you feel this is the role for you or would like to find out more get in touch by clicking the ‘apply now’ button or get in touch with me by the following:
Email me at Call me onPlease note:you must be eligible to work in the UK to be considered for this role
The latest news, articles, and resources, sent to your inbox weekly.
Machine Learning Engineer – FinTech (Open banking) – Remote (UK) £85kAre you an end2end Machine Learning Engineer, with experience taking models from POC through to production and model monitoring?Do you consider yourself a good software engineer, apply best practices and familiar with approaches like TDD?Who are we?We’re a Series A...
MBN Solutions Glasgow
The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI.As an ML...
AWS EMEA SARL (UK Branch) London
Electric Twin is building advanced systems to predict human behaviour. Recent progress in computation and data science have allowed us to build a platform that enables rapid experimentation and better decision making.The vision of Electric Twin is based on the principles of evolution - that humans operate rationally, but within...
Electric Twin Ltd London
Permanent Full TimeData ScienceLondon - Hybrid N/A (Tech Role)ML Engineering ManagerML Engineering Manager Working at our iconic office in King’s Cross, London, and virtually via Microsoft TeamsYour new role at NewDayThe Senior Manager for ML Engineering will help to drive high standards of delivery excellence within Machine Learning Engineering and...
NewDay London
Job Description:Are you interested in empowering Arm’s engineering teams to create products using the power of machine learning and statistics? Are you passionate about working in a team that thrives on creativity, innovation, and diversity?Arm is using Machine Learning and Data Science techniques to empower our engineers to make data-driven...
ARM Haverhill
Job Description:Are you interested in empowering Arm’s engineering teams to create products using the power of machine learning and statistics? Are you passionate about working in a team that thrives on creativity, innovation, and diversity?Arm is using Machine Learning and Data Science techniques to empower our engineers to make data-driven...
ARM Cambridge
