Senior Machine Learning Engineer
Qodea
- London, England, United Kingdom
- London, England, United Kingdom
Über
Senior Machine Learning Engineer
responsible for the end-to-end lifecycle of machine learning models that power core product features. You will design, build, and deploy innovative ML solutions that directly impact the user experience through personalization, recommendations, and intelligent systems.
Responsibilities
Lead the algorithm selection, design, and prototyping of machine learning models to solve complex business problems, including recommendation, personalization, and predictive analytics.
Apply expertise in statistical modeling and machine learning to perform deep data analysis, guide crucial feature selection, and identify opportunities for product improvement.
Own the full ML lifecycle, from breaking down discrete steps of a pipeline (e.g., with a DAG) to analyzing model implementations and improving their robustness in the wild.
Implement and manage robust model observability, tuning, and optimization processes to ensure sustained performance and accuracy post-deployment.
Develop and maintain data pipelines to process and prepare data for model training and evaluation.
Design and conduct A/B tests to evaluate model performance and its impact on key business metrics.
Collaborate closely with product managers and engineers to define problems and deliver effective AI-driven solutions.
Mentor other team members, champion best practices in machine learning engineering, and stay current with the latest advancements in the field.
Requirements
Hands‑on experience designing and deploying production‑grade machine learning systems.
Strong foundational knowledge of various machine learning algorithms and a proven ability to select the appropriate methodology, avoiding a one‑size‑fits‑all approach.
Proven experience in areas such as recommendation systems, personalization, natural language processing (NLP), or semantic search.
Expert‑level programming skills in Python, with deep, hands‑on experience using data science and ML libraries such as Pandas, Scikit‑learn, TensorFlow, or PyTorch.
Experience with data storage technologies (e.g., SQL, NoSQL, key‑value) and their scaling characteristics.
Experience with large‑scale data processing technologies (e.g., Spark, Beam, Flink) and associated patterns (batch vs. stream), with a deep understanding of when to use them.
Experience using cloud platforms (e.g., GCP) at scale.
Experience deploying ML‑based solutions at scale using cloud‑native services.
Excellent communication and collaboration skills, with the ability to thrive in a fast‑paced, cross‑functional team environment.
Benefits
Competitive base salary
Matching pension scheme (up to 5%) from day one
Discretionary company bonus scheme
4× annual salary death‑in‑service coverage from day one
Employee referral scheme
Tech scheme
Private medical insurance from day one
Optical and dental cashback scheme
Help@Hand app: access to remote GPs, second opinions, mental health support, and physiotherapy
EAP service
Cycle‑to‑work scheme
36 days annual leave (inclusive of bank holidays)
One paid day off for your birthday
Ten paid learning days per year
Flexible working hours
Market‑leading parental leave
Sabbatical leave (after five years)
Work from anywhere (up to 3 weeks per year)
Industry‑recognised training and certifications
Bonusly employee recognition and rewards platform
Clear opportunities for career development
Length of service awards
Regular company events
Diversity and Inclusion At Qodea, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability, or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology
Industries IT Services and IT Consulting
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Sprachkenntnisse
- English
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