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Senior Machine Learning Engineer

Condukt

Greater London

On-site

GBP 80,000 - 120,000

Full time

12 days ago

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Job summary

Join a forward-thinking company as a Senior Machine Learning Engineer specializing in Natural Language Processing. In this pivotal role, you will shape the core AI technology that powers a cutting-edge business identity platform. Collaborating closely with the founding team, you will develop machine learning functionalities and train models for various NLP tasks, all while ensuring high standards of security and performance. This is an exciting opportunity to make a significant impact in an early-stage startup, where your contributions will help create trust for financial service providers. If you thrive in dynamic environments and are passionate about solving complex problems, this role is perfect for you.

Benefits

Equity options

Sick days

Compassionate leave

Flexible working hours

Qualifications

5+ years in machine learning and data science.
3+ years in Natural Language Processing and LLMs.
Experience with model training and evaluation.

Responsibilities

Develop ML functionality at the core of the platform.
Train and evaluate models for document processing.
Implement production-level code for model integration.

Skills

Machine Learning

Natural Language Processing

Python

SQL

Mathematical Statistics

Data Structures

Algorithms

Data Visualization

Web Scraping

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Tools

Huggingface Transformers

PyTorch

Apache Spark

Airflow

Superset

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We are a business identity platform that enables the onboarding of businesses of any size easily and instantly. Our products create trust for financial service providers (our customers) to seamlessly verify, onboard, and monitor businesses (their clients).

Position Overview

We are looking for a Senior Machine Learning Engineer (Natural Language Processing) to join our team. You will be an early shaper of the design and architecture of the core AI technology powering the product, and work closely with the founding team to deliver 10x value to our clients.

As an early-stage startup, we pride ourselves on our ability to roll up our sleeves and build from scratch. We will be shipping code frequently and learning as we go while satisfying all critical security, performance, and uptime requirements for our clients.

We all love to build, scale, and grow. Our leadership team has experience building products, scaling teams, and optimizing for growth while working with ambitious engineers from tech unicorns.

If you’re passionate about building products that make a complex problem easy this job is for you. As one of the first engineering hires, you’ll have the opportunity to shape both the product and the engineering culture. You should be ready to move fast, embrace uncertainty, and wear different hats.

Responsibilities

Develop ML functionality at the core of our platform.
Train and evaluate models for intelligent document processing, web data parsing, classification, search, and matching.
Implement production-level code to seamlessly integrate models into the main application.
Influence and shape the data science culture within the organization.
Continuously enhance data science practices and processes to align with industry best standards.

Qualifications

Effective and self-driven builder
Bachelor's or Master's degree in Computer Science or a related field
5+ years of experience in machine learning and/or data science
3+ years of experience in Natural Language Processing - LLMs, classical NLP methods, NER models, syntax parsers, text embeddings & approximate nearest neighbors search
Experience with any of the following NLP tasks - named entity recognition, intelligent document processing, website parsing & classification, sentiment analysis, information retrieval, entity matching & linking, spelling correction
Strong knowledge of Mathematical Statistics, Algorithms & Data Structures, ML Theory
Strong knowledge of Python & SQL
Experience training & fine-tuning Transformers or Large Language Models (Huggingface Transformers, OpenAI, Llama 2, Langchain)
Experience serving Neural Networks in production (PyTorch, ONNX, TorchServe, Triton)
Experience with ad-hoc analytics, data visualisation, and BI tools (Superset, Redash, Metabase)
Experience with workflow orchestration tools (Airflow, Prefect)
Experience writing data processing pipelines & ETL (Python, Apache Spark)
Excellent communication skills and ability to work collaboratively in a team environment
Experience with web scraping
Competitive salary package (including equity)
Sick days and compassionate leave as needed

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Engineering and Information Technology
Industries
Information Services

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